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BLOGS | IBM BIG DATA & ANALYTICS HUB Machine learning has the potential to make the lives of marketers easier, but few marketing teams currently have the in-house data science skills they need to take advantage of it.DATA ARCHIVING
A master data management (MDM) strategy can help businesses make intelligent business decisions and avoid unnecessary expenses while enabling efficient deployment and INTERNET OF EVERYTHING The Internet, including our social feeds, is chock full of blogs, news and articles on the strides that the public sector is making with bigdata and analytics.
UDF | IBM BIG DATA & ANALYTICS HUB It’s easy to understand why big data is intimidating as the whole gang of JSON, SQL, YARN and UDFs (user-defined functions) invoke glazed eyes and thoughts of extraterrestrial technologies.RETAIL TRENDS
Companies utilizing the latest retail trends, including NFC technology, wearables and geolocation, are set to collect the data points necessary to provide the customer service today's customersexpect.
BLOGS | IBM BIG DATA & ANALYTICS HUB Fundamentally, machine learning is a productivity tool for data scientists. As the heart of systems that can learn from data, machine learning allows data scientists to train a model on an example data set and then leverage algorithms that automatically generalize and learn both from that example WWW.IBMBIGDATAHUB.COM {"matched_rule":[{"source":"/(.*)","target":"//www.ibm.com/blogs/journey-to-ai/","target_rule":"//www.ibm.com/blogs/journey-to-ai/","status":301,"hostname":"www PODCASTS | IBM BIG DATA & ANALYTICS HUB "Don't just get feedback—actually do something with the feedback you’re getting." - Rosetta Lue Public Sector Talks is a new series of podcasts focused on the application of PODCASTS | IBM BIG DATA & ANALYTICS HUB This week’s guest, Matthew Porcelli, meteorologist and sales engineer for the IBM and The Weather Company strategic alliance, chats with Dr. Gary Nestler, an IBM IBV - IBM BIG DATA & ANALYTICS HUB Rebecca Shockley is the Global Research Leader for Business Analytics at the renowned IBM Institute for Business Value (IBV). She joined us to talk about highlights from the latest IBV study, “Analytics: The speed advantage" and described four key "shifts" that occurred in thepast year.
BLOGS | IBM BIG DATA & ANALYTICS HUB Machine learning has the potential to make the lives of marketers easier, but few marketing teams currently have the in-house data science skills they need to take advantage of it.DATA ARCHIVING
A master data management (MDM) strategy can help businesses make intelligent business decisions and avoid unnecessary expenses while enabling efficient deployment and INTERNET OF EVERYTHING The Internet, including our social feeds, is chock full of blogs, news and articles on the strides that the public sector is making with bigdata and analytics.
UDF | IBM BIG DATA & ANALYTICS HUB It’s easy to understand why big data is intimidating as the whole gang of JSON, SQL, YARN and UDFs (user-defined functions) invoke glazed eyes and thoughts of extraterrestrial technologies.RETAIL TRENDS
Companies utilizing the latest retail trends, including NFC technology, wearables and geolocation, are set to collect the data points necessary to provide the customer service today's customersexpect.
INDUSTRIES | IBM BIG DATA & ANALYTICS HUB Transforming your business with big data and analytics is an ongoing journey, not a one-time event. This white paper outlines a five-step progression that helps you identify big data and analytics opportunities, establish models, prove value, scale and transform to a data-driven culture. USE CASES | IBM BIG DATA & ANALYTICS HUB In part 1 of a part 2 series, host Al Martin peels the onion with Janine Sneed. Bold, energetic, passionate, and results-driven, Janine serves in two distinct roles at IBM: Chief Digital Officer and VP of Customer Success for IBM Data and AI. WWW.IBMBIGDATAHUB.COM {"matched_rule":[{"source":"/(.*)","target":"//www.ibm.com/blogs/journey-to-ai/","target_rule":"//www.ibm.com/blogs/journey-to-ai/","status":301,"hostname":"www BLOGS | IBM BIG DATA & ANALYTICS HUB Today, we are pleased to announce the general availability of IBM Cloud Pak for Data V3.0. Over the past two years we have advanced our platform from a collection of mostly IBM data services to a robust end-to-end data & AI solution that serves, along with the other IBMCloud Paks.
UDF | IBM BIG DATA & ANALYTICS HUB It’s easy to understand why big data is intimidating as the whole gang of JSON, SQL, YARN and UDFs (user-defined functions) invoke glazed eyes and thoughts of extraterrestrial technologies. BLOGS | IBM BIG DATA & ANALYTICS HUB Machine learning has the potential to make the lives of marketers easier, but few marketing teams currently have the in-house data science skills they need to take advantage of it. INTERNET OF EVERYTHING IBM and the Internet of Things are changing how insurance companies do business. Insurers have the opportunity to improve claims management, crisis response, policyholder retention, risk BLOGS | IBM BIG DATA & ANALYTICS HUB Children are such a glorious creation; being a parent of three (eight, seven and five) I’m allowed to pass judgments like these. They can bring so much joy and so much frustration at the same time. BLOGS | IBM BIG DATA & ANALYTICS HUB Fundamentally, machine learning is a productivity tool for data scientists. As the heart of systems that can learn from data, machine learning allows data scientists to train a model on an example data set and then leverage algorithms that automatically generalize and learn both from that example BLOGS | IBM BIG DATA & ANALYTICS HUB Consumers want everything on demand because virtually anything is one click away from their smartphones. See how the race is on for marketers to give customers what they want, when and where they want it by unleashing the power of data, analytics and PODCASTS | IBM BIG DATA & ANALYTICS HUB "Don't just get feedback—actually do something with the feedback you’re getting." - Rosetta Lue Public Sector Talks is a new series of podcasts focused on the application of PODCASTS | IBM BIG DATA & ANALYTICS HUB This week’s guest, Matthew Porcelli, meteorologist and sales engineer for the IBM and The Weather Company strategic alliance, chats with Dr. Gary Nestler, an IBM IBV - IBM BIG DATA & ANALYTICS HUB Rebecca Shockley is the Global Research Leader for Business Analytics at the renowned IBM Institute for Business Value (IBV). She joined us to talk about highlights from the latest IBV study, “Analytics: The speed advantage" and described four key "shifts" that occurred in thepast year.
BLOGS | IBM BIG DATA & ANALYTICS HUB Machine learning has the potential to make the lives of marketers easier, but few marketing teams currently have the in-house data science skills they need to take advantage of it.DATA ARCHIVING
A master data management (MDM) strategy can help businesses make intelligent business decisions and avoid unnecessary expenses while enabling efficient deployment and INTERNET OF EVERYTHING The Internet, including our social feeds, is chock full of blogs, news and articles on the strides that the public sector is making with bigdata and analytics.
UDF | IBM BIG DATA & ANALYTICS HUB It’s easy to understand why big data is intimidating as the whole gang of JSON, SQL, YARN and UDFs (user-defined functions) invoke glazed eyes and thoughts of extraterrestrial technologies.RETAIL TRENDS
Companies utilizing the latest retail trends, including NFC technology, wearables and geolocation, are set to collect the data points necessary to provide the customer service today's customersexpect.
BLOGS | IBM BIG DATA & ANALYTICS HUB Fundamentally, machine learning is a productivity tool for data scientists. As the heart of systems that can learn from data, machine learning allows data scientists to train a model on an example data set and then leverage algorithms that automatically generalize and learn both from that example WWW.IBMBIGDATAHUB.COM {"matched_rule":[{"source":"/(.*)","target":"//www.ibm.com/blogs/journey-to-ai/","target_rule":"//www.ibm.com/blogs/journey-to-ai/","status":301,"hostname":"www PODCASTS | IBM BIG DATA & ANALYTICS HUB "Don't just get feedback—actually do something with the feedback you’re getting." - Rosetta Lue Public Sector Talks is a new series of podcasts focused on the application of PODCASTS | IBM BIG DATA & ANALYTICS HUB This week’s guest, Matthew Porcelli, meteorologist and sales engineer for the IBM and The Weather Company strategic alliance, chats with Dr. Gary Nestler, an IBM IBV - IBM BIG DATA & ANALYTICS HUB Rebecca Shockley is the Global Research Leader for Business Analytics at the renowned IBM Institute for Business Value (IBV). She joined us to talk about highlights from the latest IBV study, “Analytics: The speed advantage" and described four key "shifts" that occurred in thepast year.
BLOGS | IBM BIG DATA & ANALYTICS HUB Machine learning has the potential to make the lives of marketers easier, but few marketing teams currently have the in-house data science skills they need to take advantage of it.DATA ARCHIVING
A master data management (MDM) strategy can help businesses make intelligent business decisions and avoid unnecessary expenses while enabling efficient deployment and INTERNET OF EVERYTHING The Internet, including our social feeds, is chock full of blogs, news and articles on the strides that the public sector is making with bigdata and analytics.
UDF | IBM BIG DATA & ANALYTICS HUB It’s easy to understand why big data is intimidating as the whole gang of JSON, SQL, YARN and UDFs (user-defined functions) invoke glazed eyes and thoughts of extraterrestrial technologies.RETAIL TRENDS
Companies utilizing the latest retail trends, including NFC technology, wearables and geolocation, are set to collect the data points necessary to provide the customer service today's customersexpect.
BLOGS | IBM BIG DATA & ANALYTICS HUB Fundamentally, machine learning is a productivity tool for data scientists. As the heart of systems that can learn from data, machine learning allows data scientists to train a model on an example data set and then leverage algorithms that automatically generalize and learn both from that example WWW.IBMBIGDATAHUB.COM {"matched_rule":[{"source":"/(.*)","target":"//www.ibm.com/blogs/journey-to-ai/","target_rule":"//www.ibm.com/blogs/journey-to-ai/","status":301,"hostname":"www INDUSTRIES | IBM BIG DATA & ANALYTICS HUB Transforming your business with big data and analytics is an ongoing journey, not a one-time event. This white paper outlines a five-step progression that helps you identify big data and analytics opportunities, establish models, prove value, scale and transform to a data-driven culture. USE CASES | IBM BIG DATA & ANALYTICS HUB In part 1 of a part 2 series, host Al Martin peels the onion with Janine Sneed. Bold, energetic, passionate, and results-driven, Janine serves in two distinct roles at IBM: Chief Digital Officer and VP of Customer Success for IBM Data and AI. WWW.IBMBIGDATAHUB.COM {"matched_rule":[{"source":"/(.*)","target":"//www.ibm.com/blogs/journey-to-ai/","target_rule":"//www.ibm.com/blogs/journey-to-ai/","status":301,"hostname":"www BLOGS | IBM BIG DATA & ANALYTICS HUB Today, we are pleased to announce the general availability of IBM Cloud Pak for Data V3.0. Over the past two years we have advanced our platform from a collection of mostly IBM data services to a robust end-to-end data & AI solution that serves, along with the other IBMCloud Paks.
UDF | IBM BIG DATA & ANALYTICS HUB It’s easy to understand why big data is intimidating as the whole gang of JSON, SQL, YARN and UDFs (user-defined functions) invoke glazed eyes and thoughts of extraterrestrial technologies. BLOGS | IBM BIG DATA & ANALYTICS HUB Machine learning has the potential to make the lives of marketers easier, but few marketing teams currently have the in-house data science skills they need to take advantage of it. INTERNET OF EVERYTHING IBM and the Internet of Things are changing how insurance companies do business. Insurers have the opportunity to improve claims management, crisis response, policyholder retention, risk BLOGS | IBM BIG DATA & ANALYTICS HUB Children are such a glorious creation; being a parent of three (eight, seven and five) I’m allowed to pass judgments like these. They can bring so much joy and so much frustration at the same time. BLOGS | IBM BIG DATA & ANALYTICS HUB Fundamentally, machine learning is a productivity tool for data scientists. As the heart of systems that can learn from data, machine learning allows data scientists to train a model on an example data set and then leverage algorithms that automatically generalize and learn both from that example BLOGS | IBM BIG DATA & ANALYTICS HUB Consumers want everything on demand because virtually anything is one click away from their smartphones. See how the race is on for marketers to give customers what they want, when and where they want it by unleashing the power of data, analytics and PODCASTS | IBM BIG DATA & ANALYTICS HUB "Don't just get feedback—actually do something with the feedback you’re getting." - Rosetta Lue Public Sector Talks is a new series of podcasts focused on the application of PODCASTS | IBM BIG DATA & ANALYTICS HUB This week’s guest, Matthew Porcelli, meteorologist and sales engineer for the IBM and The Weather Company strategic alliance, chats with Dr. Gary Nestler, an IBM IBV | IBM BIG DATA & ANALYTICS HUB Rebecca Shockley is the Global Research Leader for Business Analytics at the renowned IBM Institute for Business Value (IBV). She joined us to talk about highlights from the latest IBV study, “Analytics: The speed advantage" and described four key "shifts" that occurred in thepast year.
MICROSOFT | IBM BIG DATA & ANALYTICS HUB Eric Schmidt, Steve Ballmer and Chris Hughes were among the "Mastermind" speakers at Gartner Symposium. Here are the highlights from their jam-packed Q&A sessions: Chris Hughes: "Facebook was very much a social project" You're not a coder, you're not a technologist. BLOGS | IBM BIG DATA & ANALYTICS HUB Machine learning has the potential to make the lives of marketers easier, but few marketing teams currently have the in-house data science skills they need to take advantage of it.DATA ARCHIVING
A master data management (MDM) strategy can help businesses make intelligent business decisions and avoid unnecessary expenses while enabling efficient deployment and INTERNET OF EVERYTHING The Internet, including our social feeds, is chock full of blogs, news and articles on the strides that the public sector is making with bigdata and analytics.
UDF | IBM BIG DATA & ANALYTICS HUB It’s easy to understand why big data is intimidating as the whole gang of JSON, SQL, YARN and UDFs (user-defined functions) invoke glazed eyes and thoughts of extraterrestrial technologies. BLOGS | IBM BIG DATA & ANALYTICS HUB Fundamentally, machine learning is a productivity tool for data scientists. As the heart of systems that can learn from data, machine learning allows data scientists to train a model on an example data set and then leverage algorithms that automatically generalize and learn both from that example WWW.IBMBIGDATAHUB.COM {"matched_rule":[{"source":"/(.*)","target":"//www.ibm.com/blogs/journey-to-ai/","target_rule":"//www.ibm.com/blogs/journey-to-ai/","status":301,"hostname":"www PODCASTS | IBM BIG DATA & ANALYTICS HUB "Don't just get feedback—actually do something with the feedback you’re getting." - Rosetta Lue Public Sector Talks is a new series of podcasts focused on the application of PODCASTS | IBM BIG DATA & ANALYTICS HUB This week’s guest, Matthew Porcelli, meteorologist and sales engineer for the IBM and The Weather Company strategic alliance, chats with Dr. Gary Nestler, an IBM IBV | IBM BIG DATA & ANALYTICS HUB Rebecca Shockley is the Global Research Leader for Business Analytics at the renowned IBM Institute for Business Value (IBV). She joined us to talk about highlights from the latest IBV study, “Analytics: The speed advantage" and described four key "shifts" that occurred in thepast year.
MICROSOFT | IBM BIG DATA & ANALYTICS HUB Eric Schmidt, Steve Ballmer and Chris Hughes were among the "Mastermind" speakers at Gartner Symposium. Here are the highlights from their jam-packed Q&A sessions: Chris Hughes: "Facebook was very much a social project" You're not a coder, you're not a technologist. BLOGS | IBM BIG DATA & ANALYTICS HUB Machine learning has the potential to make the lives of marketers easier, but few marketing teams currently have the in-house data science skills they need to take advantage of it.DATA ARCHIVING
A master data management (MDM) strategy can help businesses make intelligent business decisions and avoid unnecessary expenses while enabling efficient deployment and INTERNET OF EVERYTHING The Internet, including our social feeds, is chock full of blogs, news and articles on the strides that the public sector is making with bigdata and analytics.
UDF | IBM BIG DATA & ANALYTICS HUB It’s easy to understand why big data is intimidating as the whole gang of JSON, SQL, YARN and UDFs (user-defined functions) invoke glazed eyes and thoughts of extraterrestrial technologies. BLOGS | IBM BIG DATA & ANALYTICS HUB Fundamentally, machine learning is a productivity tool for data scientists. As the heart of systems that can learn from data, machine learning allows data scientists to train a model on an example data set and then leverage algorithms that automatically generalize and learn both from that example WWW.IBMBIGDATAHUB.COM {"matched_rule":[{"source":"/(.*)","target":"//www.ibm.com/blogs/journey-to-ai/","target_rule":"//www.ibm.com/blogs/journey-to-ai/","status":301,"hostname":"www INDUSTRIES | IBM BIG DATA & ANALYTICS HUB Transforming your business with big data and analytics is an ongoing journey, not a one-time event. This white paper outlines a five-step progression that helps you identify big data and analytics opportunities, establish models, prove value, scale and transform to a data-driven culture. USE CASES | IBM BIG DATA & ANALYTICS HUB In part 1 of a part 2 series, host Al Martin peels the onion with Janine Sneed. Bold, energetic, passionate, and results-driven, Janine serves in two distinct roles at IBM: Chief Digital Officer and VP of Customer Success for IBM Data and AI. WWW.IBMBIGDATAHUB.COM {"matched_rule":[{"source":"/(.*)","target":"//www.ibm.com/blogs/journey-to-ai/","target_rule":"//www.ibm.com/blogs/journey-to-ai/","status":301,"hostname":"www BLOGS | IBM BIG DATA & ANALYTICS HUB Today, we are pleased to announce the general availability of IBM Cloud Pak for Data V3.0. Over the past two years we have advanced our platform from a collection of mostly IBM data services to a robust end-to-end data & AI solution that serves, along with the other IBMCloud Paks.
UDF | IBM BIG DATA & ANALYTICS HUB It’s easy to understand why big data is intimidating as the whole gang of JSON, SQL, YARN and UDFs (user-defined functions) invoke glazed eyes and thoughts of extraterrestrial technologies. BLOGS | IBM BIG DATA & ANALYTICS HUB Machine learning has the potential to make the lives of marketers easier, but few marketing teams currently have the in-house data science skills they need to take advantage of it. INTERNET OF EVERYTHING IBM and the Internet of Things are changing how insurance companies do business. Insurers have the opportunity to improve claims management, crisis response, policyholder retention, risk BLOGS | IBM BIG DATA & ANALYTICS HUB Children are such a glorious creation; being a parent of three (eight, seven and five) I’m allowed to pass judgments like these. They can bring so much joy and so much frustration at the same time. BLOGS | IBM BIG DATA & ANALYTICS HUB Fundamentally, machine learning is a productivity tool for data scientists. As the heart of systems that can learn from data, machine learning allows data scientists to train a model on an example data set and then leverage algorithms that automatically generalize and learn both from that example BLOGS | IBM BIG DATA & ANALYTICS HUB Consumers want everything on demand because virtually anything is one click away from their smartphones. See how the race is on for marketers to give customers what they want, when and where they want it by unleashing the power of data, analytics and PODCASTS | IBM BIG DATA & ANALYTICS HUB "Don't just get feedback—actually do something with the feedback you’re getting." - Rosetta Lue Public Sector Talks is a new series of podcasts focused on the application of PODCASTS | IBM BIG DATA & ANALYTICS HUB This week’s guest, Matthew Porcelli, meteorologist and sales engineer for the IBM and The Weather Company strategic alliance, chats with Dr. Gary Nestler, an BLOGS | IBM BIG DATA & ANALYTICS HUB Machine learning has the potential to make the lives of marketers easier, but few marketing teams currently have the in-house data science skills they need to take advantage of it. INTERNET OF EVERYTHING The Internet, including our social feeds, is chock full of blogs, news and articles on the strides that the public sector is making with bigdata and analytics.
MICROSOFT | IBM BIG DATA & ANALYTICS HUB Owens-Illinois (O-I), the world’s largest manufacturer of glass containers, recently undertook a global migration from Oracle to Db2. Learn more about the migration and its success from O-I executives.DATA ARCHIVING
A master data management (MDM) strategy can help businesses make intelligent business decisions and avoid unnecessary expenses while enabling efficient deployment and UDF | IBM BIG DATA & ANALYTICS HUB It’s easy to understand why big data is intimidating as the whole gang of JSON, SQL, YARN and UDFs (user-defined functions) invoke glazed eyes and thoughts of extraterrestrial technologies. BLOGS | IBM BIG DATA & ANALYTICS HUB Fundamentally, machine learning is a productivity tool for data scientists. As the heart of systems that can learn from data, machine learning allows data scientists to train a model on an example data set and then leverage algorithms that automatically generalize and learn both from that example FORRESTER WAVE REAL TIME ANALYTICS Join us on Thursday, March 5 at 1:00 p.m. ET for a webinar featuring Mike Gualtieri, coauthor of The Forrester Wave: Big Data Streaming Analytics Platforms, to discuss how streaming data is transforming the way we live, work and play. WWW.IBMBIGDATAHUB.COM {"matched_rule":[{"source":"/(.*)","target":"//www.ibm.com/blogs/journey-to-ai/","target_rule":"//www.ibm.com/blogs/journey-to-ai/","status":301,"hostname":"www PODCASTS | IBM BIG DATA & ANALYTICS HUB "Don't just get feedback—actually do something with the feedback you’re getting." - Rosetta Lue Public Sector Talks is a new series of podcasts focused on the application of PODCASTS | IBM BIG DATA & ANALYTICS HUB This week’s guest, Matthew Porcelli, meteorologist and sales engineer for the IBM and The Weather Company strategic alliance, chats with Dr. Gary Nestler, an BLOGS | IBM BIG DATA & ANALYTICS HUB Machine learning has the potential to make the lives of marketers easier, but few marketing teams currently have the in-house data science skills they need to take advantage of it. INTERNET OF EVERYTHING The Internet, including our social feeds, is chock full of blogs, news and articles on the strides that the public sector is making with bigdata and analytics.
MICROSOFT | IBM BIG DATA & ANALYTICS HUB Owens-Illinois (O-I), the world’s largest manufacturer of glass containers, recently undertook a global migration from Oracle to Db2. Learn more about the migration and its success from O-I executives.DATA ARCHIVING
A master data management (MDM) strategy can help businesses make intelligent business decisions and avoid unnecessary expenses while enabling efficient deployment and UDF | IBM BIG DATA & ANALYTICS HUB It’s easy to understand why big data is intimidating as the whole gang of JSON, SQL, YARN and UDFs (user-defined functions) invoke glazed eyes and thoughts of extraterrestrial technologies. BLOGS | IBM BIG DATA & ANALYTICS HUB Fundamentally, machine learning is a productivity tool for data scientists. As the heart of systems that can learn from data, machine learning allows data scientists to train a model on an example data set and then leverage algorithms that automatically generalize and learn both from that example FORRESTER WAVE REAL TIME ANALYTICS Join us on Thursday, March 5 at 1:00 p.m. ET for a webinar featuring Mike Gualtieri, coauthor of The Forrester Wave: Big Data Streaming Analytics Platforms, to discuss how streaming data is transforming the way we live, work and play. WWW.IBMBIGDATAHUB.COM {"matched_rule":[{"source":"/(.*)","target":"//www.ibm.com/blogs/journey-to-ai/","target_rule":"//www.ibm.com/blogs/journey-to-ai/","status":301,"hostname":"www INDUSTRIES | IBM BIG DATA & ANALYTICS HUB Transforming your business with big data and analytics is an ongoing journey, not a one-time event. This white paper outlines a five-step progression that helps you identify big data and analytics opportunities, establish models, prove value, scale and transform to a data-driven culture. USE CASES | IBM BIG DATA & ANALYTICS HUB In part 1 of a part 2 series, host Al Martin peels the onion with Janine Sneed. Bold, energetic, passionate, and results-driven, Janine serves in two distinct roles at IBM: Chief Digital Officer and VP of Customer Success for IBM Data and AI. BLOGS | IBM BIG DATA & ANALYTICS HUB Today, we are pleased to announce the general availability of IBM Cloud Pak for Data V3.0. Over the past two years we have advanced our platform from a collection of mostly IBM data services to a robust end-to-end data & AI solution that serves, along with the other IBMCloud Paks.
INTERNET OF EVERYTHING IBM and the Internet of Things are changing how insurance companies do business. Insurers have the opportunity to improve claims management, crisis response, policyholder retention, risk UDF | IBM BIG DATA & ANALYTICS HUB It’s easy to understand why big data is intimidating as the whole gang of JSON, SQL, YARN and UDFs (user-defined functions) invoke glazed eyes and thoughts of extraterrestrial technologies. BLOGS | IBM BIG DATA & ANALYTICS HUB Machine learning has the potential to make the lives of marketers easier, but few marketing teams currently have the in-house data science skills they need to take advantage of it. BLOGS | IBM BIG DATA & ANALYTICS HUB Fundamentally, machine learning is a productivity tool for data scientists. As the heart of systems that can learn from data, machine learning allows data scientists to train a model on an example data set and then leverage algorithms that automatically generalize and learn both from that example BLOGS | IBM BIG DATA & ANALYTICS HUB Consumers want everything on demand because virtually anything is one click away from their smartphones. See how the race is on for marketers to give customers what they want, when and where they want it by unleashing the power of data, analytics and VLDB | IBM BIG DATA & ANALYTICS HUB More details emerge about new features that can slash CPU costs WWW.IBMBIGDATAHUB.COM {"matched_rule":[{"source":"/(.*)","target":"//www.ibm.com/blogs/journey-to-ai/","target_rule":"//www.ibm.com/blogs/journey-to-ai/","status":301,"hostname":"www PODCASTS | IBM BIG DATA & ANALYTICS HUB IBM recently announced DB2 10.5 with BLU Acceleration, which uses a combination of columnar data store, memory optimization and hardware exploitation to improve performance for analytic workloads. PODCASTS | IBM BIG DATA & ANALYTICS HUB IBM Watson and financial services go hand in hand at IBM Insight at World of Watson 2016. Tune into this podcast to hear Jim Gahagan, Kim Minor and Susan Visser discuss the banking, insurance and wealth management sessions available at IBM Insight at BLOGS | IBM BIG DATA & ANALYTICS HUB In this post, the fourth installment of our five part series focused on real-time actionable insight, we explore how to optimize decision management by infusing context-aware streaming analytics into PODCASTS | IBM BIG DATA & ANALYTICS HUB "Don't just get feedback—actually do something with the feedback you’re getting." - Rosetta Lue Public Sector Talks is a new series of podcasts focused on the application ofDATA ARCHIVING
A master data management (MDM) strategy can help businesses make intelligent business decisions and avoid unnecessary expenses while enabling efficient deployment andTURING MACHINE
Suitable frameworks help data scientists apply statistical models for increasingly hybridized big data infrastructures ENABLING INSTANT INSIGHT AND DECISION SUPPORT WITH STREAM Companies love big data but lack the strategy to use it effectively, according to the faculty at Harvard Business School. Researchers say that the problem is that everyone is better at collecting data — about their customers, about their products, about competitors — than analyzing it and designing strategy around it. The data is oftennot used well.
FORRESTER WAVE REAL TIME ANALYTICS Join us on Thursday, March 5 at 1:00 p.m. ET for a webinar featuring Mike Gualtieri, coauthor of The Forrester Wave: Big Data Streaming Analytics Platforms, to discuss how streaming data is transforming the way we live, work and play. BUSINESS NEEDS FOR THE SMB ENVIRONMENT IBM Software Tivoli. Solution Brief. IBM Tivoli Netcool network management solutions for SMB. An integrated approach enhances IT as it supports business needs for the SMB environment SOCIAL MEDIA LISTENING CAN HELP THE ENTERTAINMENT INDUSTRY Social media listening data can help the entertainment industry get a better idea about which properties are likely to catch on. Social media has been around for more than a decade, but there is currently a critical mass of the population on Facebook and Twitter, among othernetworks.
PODCASTS | IBM BIG DATA & ANALYTICS HUB IBM recently announced DB2 10.5 with BLU Acceleration, which uses a combination of columnar data store, memory optimization and hardware exploitation to improve performance for analytic workloads. PODCASTS | IBM BIG DATA & ANALYTICS HUB IBM Watson and financial services go hand in hand at IBM Insight at World of Watson 2016. Tune into this podcast to hear Jim Gahagan, Kim Minor and Susan Visser discuss the banking, insurance and wealth management sessions available at IBM Insight at BLOGS | IBM BIG DATA & ANALYTICS HUB In this post, the fourth installment of our five part series focused on real-time actionable insight, we explore how to optimize decision management by infusing context-aware streaming analytics into PODCASTS | IBM BIG DATA & ANALYTICS HUB "Don't just get feedback—actually do something with the feedback you’re getting." - Rosetta Lue Public Sector Talks is a new series of podcasts focused on the application ofDATA ARCHIVING
A master data management (MDM) strategy can help businesses make intelligent business decisions and avoid unnecessary expenses while enabling efficient deployment andTURING MACHINE
Suitable frameworks help data scientists apply statistical models for increasingly hybridized big data infrastructures ENABLING INSTANT INSIGHT AND DECISION SUPPORT WITH STREAM Companies love big data but lack the strategy to use it effectively, according to the faculty at Harvard Business School. Researchers say that the problem is that everyone is better at collecting data — about their customers, about their products, about competitors — than analyzing it and designing strategy around it. The data is oftennot used well.
FORRESTER WAVE REAL TIME ANALYTICS Join us on Thursday, March 5 at 1:00 p.m. ET for a webinar featuring Mike Gualtieri, coauthor of The Forrester Wave: Big Data Streaming Analytics Platforms, to discuss how streaming data is transforming the way we live, work and play. BUSINESS NEEDS FOR THE SMB ENVIRONMENT IBM Software Tivoli. Solution Brief. IBM Tivoli Netcool network management solutions for SMB. An integrated approach enhances IT as it supports business needs for the SMB environment SOCIAL MEDIA LISTENING CAN HELP THE ENTERTAINMENT INDUSTRY Social media listening data can help the entertainment industry get a better idea about which properties are likely to catch on. Social media has been around for more than a decade, but there is currently a critical mass of the population on Facebook and Twitter, among othernetworks.
PODCASTS | IBM BIG DATA & ANALYTICS HUB IBM recently announced DB2 10.5 with BLU Acceleration, which uses a combination of columnar data store, memory optimization and hardware exploitation to improve performance for analytic workloads. PODCASTS | IBM BIG DATA & ANALYTICS HUB Keep the insights coming from IBM InterConnect 2016 with this episode of the Open for Data podcast, in which Adrian Bowles of RTInsights shares his perspective on what open source initiatives mean for PODCASTS | IBM BIG DATA & ANALYTICS HUB IBM Watson and financial services go hand in hand at IBM Insight at World of Watson 2016. Tune into this podcast to hear Jim Gahagan, Kim Minor and Susan Visser discuss the banking, insurance and wealth management sessions available at IBM Insight at PODCASTS | IBM BIG DATA & ANALYTICS HUB This episode of Making Data Simple features Brian O’Neill, product designer for Designing for Analytics. Brian and host Al Martin step back from the deep, technical questions of data science, architecture and governance to look at how principles of design can clarify and accelerate development for ANALYTICS | IBM BIG DATA & ANALYTICS HUB Follow @IBMData Artificial Intelligence has penetrated every industry in some form or another. From powering recommendation engines for consumer products to helping extend credit products in a more efficient manner, AI is becoming an imperative that no C-level executive can choose to delay. PODCASTS | IBM BIG DATA & ANALYTICS HUB It's been said the "culture eats strategy for lunch." Tom Deutsch, program director of big data & advanced analytics at IBM, joined us to describe MVI—the minimum viable insight—which is an approach to conquering issues within internal culture and dynamics. TECHNOLOGY | IBM BIG DATA & ANALYTICS HUB Airline, rail and freight logistics companies constantly look to manage costs while improving asset operations. When these companies leverage data analytics, they can conduct efficient life cycle assessments that cut costs and unearth new possibilities within transportation infrastructure. PODCASTS | IBM BIG DATA & ANALYTICS HUB "Don't just get feedback—actually do something with the feedback you’re getting." - Rosetta Lue Public Sector Talks is a new series of podcasts focused on the application of PODCASTS | IBM BIG DATA & ANALYTICS HUB On this special episode, we sit down and talk to one of the Db2 legends, Matt Huras, Chief Architect for Db2 LUW, an IBM Master Inventor with 54 granted U.S. patents, a prolific public speaker and member of the International Db2 Users Group Hall of Fame.TURING MACHINE
Suitable frameworks help data scientists apply statistical models for increasingly hybridized big data infrastructures GOVERNMENT | IBM BIG DATA & ANALYTICS HUB AI is transforming how businesses operate and deliver value, while simultaneously improving efficiencies across the organization. Governments have taken an increasingly important role in the advent of COVID-19 as citizens look to government agencies for trusted information for their individual BIG DATA & DATA VARIETY Big data is all about Velocity, Variety and Volume, and the greatest of these is Variety. At least it causes the greatest misunderstanding. Variety, in this context, alludes to the wide variety of data sources and formats that may contain insights to help organizations to make better decisions. Everything from our existing database records of APPLY GOOD DATA SCIENCE TO OUTTHINK COMPETITORS’ MARKETING To go beyond incomplete data and questionable analyses, at least, three steps of good data science work need to be performed. First, we need to create more complete data. Big data does not equal complete data. Data completeness helps us, at least, to avoid misrepresentation and model misspecification biases. The marketing data set from thepast
TECHNOLOGY | IBM BIG DATA & ANALYTICS HUB Airline, rail and freight logistics companies constantly look to manage costs while improving asset operations. When these companies leverage data analytics, they can conduct efficient life cycle assessments that cut costs and unearth new possibilities within transportation infrastructure. DATA WAREHOUSE ARCHITECTURES FOR MULTINATIONAL This three-part series for the Big Data Architects column was written by Tommy Eunice, software architect on the IBM Big Data Industry team. The first two installments of this series introduced the complexities and challenges associated with setting up data warehouses for multinational organizations and the decentralized, distributed, and centralized data warehouse models. IBM IBV - IBM BIG DATA & ANALYTICS HUB Rebecca Shockley is the Global Research Leader for Business Analytics at the renowned IBM Institute for Business Value (IBV). She joined us to talk about highlights from the latest IBV study, “Analytics: The speed advantage" and described four key "shifts" that occurred in thepast year.
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Suitable frameworks help data scientists apply statistical models for increasingly hybridized big data infrastructures OPTIMIZING ASSET UTILIZATION: THE DATA-DRIVEN FUTURE OF Welcome to the Journey to AI Blog, the new home for blog storytelling from across the IBM Data and AI business. Here you’ll find the latest news, client features, product launches, industry innovator spotlights and thought leadership from IBM executives. ENABLING INSTANT INSIGHT AND DECISION SUPPORT WITH STREAM Companies love big data but lack the strategy to use it effectively, according to the faculty at Harvard Business School. Researchers say that the problem is that everyone is better at collecting data — about their customers, about their products, about competitors — than analyzing it and designing strategy around it. The data is oftennot used well.
THE COGNITION BLITZ AT WORLD OF WATSON 2016 Advanced cognitive platform. As discussed in a blog early in the week of 24 October 2016, IBM announced the general availability of IBM Watson Data Platform (WDP), an advanced, open source–based, cloud data and analytics platform that helps simplify and automate data-driven business innovation. WDP offers a single, cloud-baseddevelopment
GOVERNMENT | IBM BIG DATA & ANALYTICS HUB AI is transforming how businesses operate and deliver value, while simultaneously improving efficiencies across the organization. Governments have taken an increasingly important role in the advent of COVID-19 as citizens look to government agencies for trusted information for their individual BIG DATA & DATA VARIETY Big data is all about Velocity, Variety and Volume, and the greatest of these is Variety. At least it causes the greatest misunderstanding. Variety, in this context, alludes to the wide variety of data sources and formats that may contain insights to help organizations to make better decisions. Everything from our existing database records of APPLY GOOD DATA SCIENCE TO OUTTHINK COMPETITORS’ MARKETING To go beyond incomplete data and questionable analyses, at least, three steps of good data science work need to be performed. First, we need to create more complete data. Big data does not equal complete data. Data completeness helps us, at least, to avoid misrepresentation and model misspecification biases. The marketing data set from thepast
TECHNOLOGY | IBM BIG DATA & ANALYTICS HUB Airline, rail and freight logistics companies constantly look to manage costs while improving asset operations. When these companies leverage data analytics, they can conduct efficient life cycle assessments that cut costs and unearth new possibilities within transportation infrastructure. DATA WAREHOUSE ARCHITECTURES FOR MULTINATIONAL This three-part series for the Big Data Architects column was written by Tommy Eunice, software architect on the IBM Big Data Industry team. The first two installments of this series introduced the complexities and challenges associated with setting up data warehouses for multinational organizations and the decentralized, distributed, and centralized data warehouse models. IBM IBV - IBM BIG DATA & ANALYTICS HUB Rebecca Shockley is the Global Research Leader for Business Analytics at the renowned IBM Institute for Business Value (IBV). She joined us to talk about highlights from the latest IBV study, “Analytics: The speed advantage" and described four key "shifts" that occurred in thepast year.
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Suitable frameworks help data scientists apply statistical models for increasingly hybridized big data infrastructures OPTIMIZING ASSET UTILIZATION: THE DATA-DRIVEN FUTURE OF Welcome to the Journey to AI Blog, the new home for blog storytelling from across the IBM Data and AI business. Here you’ll find the latest news, client features, product launches, industry innovator spotlights and thought leadership from IBM executives. ENABLING INSTANT INSIGHT AND DECISION SUPPORT WITH STREAM Companies love big data but lack the strategy to use it effectively, according to the faculty at Harvard Business School. Researchers say that the problem is that everyone is better at collecting data — about their customers, about their products, about competitors — than analyzing it and designing strategy around it. The data is oftennot used well.
THE COGNITION BLITZ AT WORLD OF WATSON 2016 Advanced cognitive platform. As discussed in a blog early in the week of 24 October 2016, IBM announced the general availability of IBM Watson Data Platform (WDP), an advanced, open source–based, cloud data and analytics platform that helps simplify and automate data-driven business innovation. WDP offers a single, cloud-baseddevelopment
BIG DATA & DATA VARIETY Big data is all about Velocity, Variety and Volume, and the greatest of these is Variety. At least it causes the greatest misunderstanding. Variety, in this context, alludes to the wide variety of data sources and formats that may contain insights to help organizations to make better decisions. Everything from our existing database records of OPTIMIZING ASSET UTILIZATION: THE DATA-DRIVEN FUTURE OF Welcome to the Journey to AI Blog, the new home for blog storytelling from across the IBM Data and AI business. Here you’ll find the latest news, client features, product launches, industry innovator spotlights and thought leadership from IBM executives. ANALYTICS | IBM BIG DATA & ANALYTICS HUB Follow @IBMData Artificial Intelligence has penetrated every industry in some form or another. From powering recommendation engines for consumer products to helping extend credit products in a more efficient manner, AI is becoming an imperative that no C-level executive can choose to delay. BLOGS | IBM BIG DATA & ANALYTICS HUB In this post, the fourth installment of our five part series focused on real-time actionable insight, we explore how to optimize decision management by infusing context-aware streaming analytics intoTURING MACHINE
Suitable frameworks help data scientists apply statistical models for increasingly hybridized big data infrastructures ACQUIRE GROW & RETAIN CUSTOMERS India’s current patient to physician ratio prevents thousands from receiving individualized care needed. iKure has developed a network of facilities with an integrated EMR system that brings care to rural communities in India, Vietnam, and Africa at an affordable andconvenient way.
DATA ARCHIVING
A master data management (MDM) strategy can help businesses make intelligent business decisions and avoid unnecessary expenses while enabling efficient deployment and SOCIAL MEDIA LISTENING CAN HELP THE ENTERTAINMENT INDUSTRY Social media listening data can help the entertainment industry get a better idea about which properties are likely to catch on. Social media has been around for more than a decade, but there is currently a critical mass of the population on Facebook and Twitter, among othernetworks.
THE SECRETS TO SUCCESSFUL IT PLANNING: Q&A WITH FORRESTER Recently, we hosted a webinar featuring Forrester VP and principal analyst Bobby Cameron to present "Mastering IT complexity with integrated planning." In this informational session, we discussed the fact that in firms moving towards automation and digitalization, IT is transforming from a back-office cost center to a strategic advisor for the overall company. BLOGS | IBM BIG DATA & ANALYTICS HUB Data, insights, cloud, agile, analytics. These are all terms that get thrown around a lot in technology these days. But the truth is that unless you can combine some or all of these concepts, the bottom line benefit to your business will likely not as great as you may expect. GOVERNMENT | IBM BIG DATA & ANALYTICS HUB AI is transforming how businesses operate and deliver value, while simultaneously improving efficiencies across the organization. Governments have taken an increasingly important role in the advent of COVID-19 as citizens look to government agencies for trusted information for their individual BIG DATA & DATA VARIETY Big data is all about Velocity, Variety and Volume, and the greatest of these is Variety. At least it causes the greatest misunderstanding. Variety, in this context, alludes to the wide variety of data sources and formats that may contain insights to help organizations to make better decisions. Everything from our existing database records of APPLY GOOD DATA SCIENCE TO OUTTHINK COMPETITORS’ MARKETING To go beyond incomplete data and questionable analyses, at least, three steps of good data science work need to be performed. First, we need to create more complete data. Big data does not equal complete data. Data completeness helps us, at least, to avoid misrepresentation and model misspecification biases. The marketing data set from thepast
TECHNOLOGY | IBM BIG DATA & ANALYTICS HUB Airline, rail and freight logistics companies constantly look to manage costs while improving asset operations. When these companies leverage data analytics, they can conduct efficient life cycle assessments that cut costs and unearth new possibilities within transportation infrastructure. DATA WAREHOUSE ARCHITECTURES FOR MULTINATIONAL This three-part series for the Big Data Architects column was written by Tommy Eunice, software architect on the IBM Big Data Industry team. The first two installments of this series introduced the complexities and challenges associated with setting up data warehouses for multinational organizations and the decentralized, distributed, and centralized data warehouse models. IBM IBV - IBM BIG DATA & ANALYTICS HUB Rebecca Shockley is the Global Research Leader for Business Analytics at the renowned IBM Institute for Business Value (IBV). She joined us to talk about highlights from the latest IBV study, “Analytics: The speed advantage" and described four key "shifts" that occurred in thepast year.
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Suitable frameworks help data scientists apply statistical models for increasingly hybridized big data infrastructures OPTIMIZING ASSET UTILIZATION: THE DATA-DRIVEN FUTURE OF Welcome to the Journey to AI Blog, the new home for blog storytelling from across the IBM Data and AI business. Here you’ll find the latest news, client features, product launches, industry innovator spotlights and thought leadership from IBM executives. ENABLING INSTANT INSIGHT AND DECISION SUPPORT WITH STREAM Companies love big data but lack the strategy to use it effectively, according to the faculty at Harvard Business School. Researchers say that the problem is that everyone is better at collecting data — about their customers, about their products, about competitors — than analyzing it and designing strategy around it. The data is oftennot used well.
THE COGNITION BLITZ AT WORLD OF WATSON 2016 Advanced cognitive platform. As discussed in a blog early in the week of 24 October 2016, IBM announced the general availability of IBM Watson Data Platform (WDP), an advanced, open source–based, cloud data and analytics platform that helps simplify and automate data-driven business innovation. WDP offers a single, cloud-baseddevelopment
GOVERNMENT | IBM BIG DATA & ANALYTICS HUB AI is transforming how businesses operate and deliver value, while simultaneously improving efficiencies across the organization. Governments have taken an increasingly important role in the advent of COVID-19 as citizens look to government agencies for trusted information for their individual BIG DATA & DATA VARIETY Big data is all about Velocity, Variety and Volume, and the greatest of these is Variety. At least it causes the greatest misunderstanding. Variety, in this context, alludes to the wide variety of data sources and formats that may contain insights to help organizations to make better decisions. Everything from our existing database records of APPLY GOOD DATA SCIENCE TO OUTTHINK COMPETITORS’ MARKETING To go beyond incomplete data and questionable analyses, at least, three steps of good data science work need to be performed. First, we need to create more complete data. Big data does not equal complete data. Data completeness helps us, at least, to avoid misrepresentation and model misspecification biases. The marketing data set from thepast
TECHNOLOGY | IBM BIG DATA & ANALYTICS HUB Airline, rail and freight logistics companies constantly look to manage costs while improving asset operations. When these companies leverage data analytics, they can conduct efficient life cycle assessments that cut costs and unearth new possibilities within transportation infrastructure. DATA WAREHOUSE ARCHITECTURES FOR MULTINATIONAL This three-part series for the Big Data Architects column was written by Tommy Eunice, software architect on the IBM Big Data Industry team. The first two installments of this series introduced the complexities and challenges associated with setting up data warehouses for multinational organizations and the decentralized, distributed, and centralized data warehouse models. IBM IBV - IBM BIG DATA & ANALYTICS HUB Rebecca Shockley is the Global Research Leader for Business Analytics at the renowned IBM Institute for Business Value (IBV). She joined us to talk about highlights from the latest IBV study, “Analytics: The speed advantage" and described four key "shifts" that occurred in thepast year.
TURING MACHINE
Suitable frameworks help data scientists apply statistical models for increasingly hybridized big data infrastructures OPTIMIZING ASSET UTILIZATION: THE DATA-DRIVEN FUTURE OF Welcome to the Journey to AI Blog, the new home for blog storytelling from across the IBM Data and AI business. Here you’ll find the latest news, client features, product launches, industry innovator spotlights and thought leadership from IBM executives. ENABLING INSTANT INSIGHT AND DECISION SUPPORT WITH STREAM Companies love big data but lack the strategy to use it effectively, according to the faculty at Harvard Business School. Researchers say that the problem is that everyone is better at collecting data — about their customers, about their products, about competitors — than analyzing it and designing strategy around it. The data is oftennot used well.
THE COGNITION BLITZ AT WORLD OF WATSON 2016 Advanced cognitive platform. As discussed in a blog early in the week of 24 October 2016, IBM announced the general availability of IBM Watson Data Platform (WDP), an advanced, open source–based, cloud data and analytics platform that helps simplify and automate data-driven business innovation. WDP offers a single, cloud-baseddevelopment
BIG DATA & DATA VARIETY Big data is all about Velocity, Variety and Volume, and the greatest of these is Variety. At least it causes the greatest misunderstanding. Variety, in this context, alludes to the wide variety of data sources and formats that may contain insights to help organizations to make better decisions. Everything from our existing database records of OPTIMIZING ASSET UTILIZATION: THE DATA-DRIVEN FUTURE OF Welcome to the Journey to AI Blog, the new home for blog storytelling from across the IBM Data and AI business. Here you’ll find the latest news, client features, product launches, industry innovator spotlights and thought leadership from IBM executives. ANALYTICS | IBM BIG DATA & ANALYTICS HUB Follow @IBMData Artificial Intelligence has penetrated every industry in some form or another. From powering recommendation engines for consumer products to helping extend credit products in a more efficient manner, AI is becoming an imperative that no C-level executive can choose to delay. BLOGS | IBM BIG DATA & ANALYTICS HUB In this post, the fourth installment of our five part series focused on real-time actionable insight, we explore how to optimize decision management by infusing context-aware streaming analytics intoTURING MACHINE
Suitable frameworks help data scientists apply statistical models for increasingly hybridized big data infrastructures ACQUIRE GROW & RETAIN CUSTOMERS India’s current patient to physician ratio prevents thousands from receiving individualized care needed. iKure has developed a network of facilities with an integrated EMR system that brings care to rural communities in India, Vietnam, and Africa at an affordable andconvenient way.
DATA ARCHIVING
A master data management (MDM) strategy can help businesses make intelligent business decisions and avoid unnecessary expenses while enabling efficient deployment and SOCIAL MEDIA LISTENING CAN HELP THE ENTERTAINMENT INDUSTRY Social media listening data can help the entertainment industry get a better idea about which properties are likely to catch on. Social media has been around for more than a decade, but there is currently a critical mass of the population on Facebook and Twitter, among othernetworks.
THE SECRETS TO SUCCESSFUL IT PLANNING: Q&A WITH FORRESTER Recently, we hosted a webinar featuring Forrester VP and principal analyst Bobby Cameron to present "Mastering IT complexity with integrated planning." In this informational session, we discussed the fact that in firms moving towards automation and digitalization, IT is transforming from a back-office cost center to a strategic advisor for the overall company. BLOGS | IBM BIG DATA & ANALYTICS HUB Data, insights, cloud, agile, analytics. These are all terms that get thrown around a lot in technology these days. But the truth is that unless you can combine some or all of these concepts, the bottom line benefit to your business will likely not as great as you may expect.* Home
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USING OPEN SOURCE AND OPEN-SOURCE-BASED DATABASES TO DRIVE YOURJOURNEY TO AI
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Using open source and open-source-based databases to drive yourJourney to AI
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As data proliferates, the need to efficiently undertand, process, and act quickly for competitive advantage continues to... As data proliferates, the need to efficiently undertand, process, and act quickly for competitive advantage continues to increase. Applications must be able to use data swiftly and adapt as needs change by the week or even the day. Developers also require places to store their data that can handleListen to Podcast
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BLOG | BY KEVIN OLIVER How AI unites siloed data and reveals the probability of accuracyacross insights
How AI unites siloed data and reveals the probability of accuracyacross insights
Two of the greatest challenges faced by organizations today are the rising volume of data and the lack of confidence to act on the... Two of the greatest challenges faced by organizations today are the rising volume of data and the lack of confidence to act on the insights this data reveals. Fortunately, there are AI-fueled data management solutions that directly address these two challenges to make data simple and accessible.Read Blog
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BLOG | BY WENNIE ALLEN Virtual data science can rise to the challenge in unprecedented times Virtual data science can rise to the challenge in unprecedented times As we learn to cope at a personal level with the dynamic development of the COVID-19 outbreak, we are seeing an increasing impact to businesses in every industry. Supply chains are broken, demands are shifting and resources are shrinking. How do you prepare your business for the economic and As we learn to cope at a personal level with the dynamic development of the COVID-19 outbreak, we are seeing an increasing impact to businesses in every industry. Supply chains are broken, demands are shifting and resources are shrinking. How do you prepare your business for the economic andRead Blog
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Tips for choosing data management solutions: Consider roadmaps, partners, and talent Tips for choosing data management solutions: Consider roadmaps, partners, and talent IDC’s report, “Choosing the Right Database Technology in the Age of Digital Transformation” highlights the expanse of data... IDC’s report, “Choosing the Right Database Technology in the Age of Digital Transformation” highlights the expanse of data management options as well as how that can cause confusion. Having clarity when looking to build new data applications or modernize workloads already in existence is essentialRead Blog
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The technical advancements behind Db2 The technical advancements behind Db2 We are pleased to announce that IBM’s Operational Database Management Systems (OPDBMS) was recognized as a 2020 Gartner Peer Insights Customers’ Choice. One of our greatest joys is... We are pleased to announce that IBM’s Operational Database Management Systems (OPDBMS) was recognized as a 2020 Gartner Peer Insights Customers’ Choice. One of our greatest joys is delivering the advanced data management capabilities clients need to fit the unique needs of their business to driveRead Blog
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BLOG | BY DAN CHEUVRONT Creating trusted COVID-19 data for communities Creating trusted COVID-19 data for communities In these rapidly changing times, we all need to get the best information available to make better informed decisions. Between news reports, adjusting to social distancing practices, and other daily adjustments, many... In these rapidly changing times, we all need to get the best information available to make better informed decisions. Between news reports, adjusting to social distancing practices, and other daily adjustments, many of us face a deluge of incoming information. IBM is making it easier for peopleListen to Podcast
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BLOG | BY PRIYA KRISHNAN IBM SPSS Statistics free trial extended through June 15 due topandemic
IBM SPSS Statistics free trial extended through June 15 due topandemic
We recognize that these are difficult times. In response to the worldwide pandemic, IBM will be extending the SPSS Statistics... We recognize that these are difficult times. In response to the worldwide pandemic, IBM will be extending the SPSS Statistics Subscription trial for active and new accounts through June 15. This will allow our users time to adjust to this dynamic and unprecedented situation. To sign up for a freeListen to Podcast
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Making Data Simple - Data analysis for pandemics with EmmanuelLetouzé
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BLOG | BY DAN CHEUVRONT Ryan Dolley partners up to facilitate change with analytics Ryan Dolley partners up to facilitate change with analytics This story is part of Analytics Heroes, a series of profiles on leaders transforming the future of business analytics. Immediately following his client, Heather Gardner, for a filmed interview... This story is part of Analytics Heroes, a series of profiles on leaders transforming the future of business analytics. Immediately following his client, Heather Gardner, for a filmed interview at Data and AI Forum in Miami, we meet Ryan Dolley of PMsquare, a full-service IBM Analytics businessListen to Podcast
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BLOG | BY SARAH MILLS Health Care Access Now: How trust and trusted data help reduce healthcare inequality Health Care Access Now: How trust and trusted data help reduce healthcare inequality The numbers are alarming. In 2018, the World Health Organization, reported the United States had the sixth highest... The numbers are alarming. In 2018, the World Health Organization, reported the United States had the sixth highest number of preterm births in the world. In the United States today, 10 percent of children are born premature—three or more weeks before their due date. According to the 2019 March ofRead Blog
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BLOG | BY PEARL CHEN I feel the need to stream: the impact of continuous intelligence I feel the need to stream: the impact of continuous intelligence Staying at the forefront of digital transformation means embracing constant change. It’s about staying nimble to customer demands, tapping into the pulse of a shifting market, and taking actions on insights as they’re developed. All of this can be made possible through continuous intelligence (CI Staying at the forefront of digital transformation means embracing constant change. It’s about staying nimble to customer demands, tapping into the pulse of a shifting market, and taking actions on insights as they’re developed. All of this can be made possible through continuous intelligence (CIRead Blog
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BLOG | BY DAN CHEUVRONT Randi Gillum: Helping a school system manage their IT assets Randi Gillum: Helping a school system manage their IT assets This story is part of Analytics Heroes, a series of profiles on leaders transforming the future of business analytics. At the Data and AI Forum in Miami, we met Randi Gillum, a senior consultant with Maven Asset Management, working with her client, Paula Curtis of Atlanta Public Schools (APS) This story is part of Analytics Heroes, a series of profiles on leaders transforming the future of business analytics. At the Data and AI Forum in Miami, we met Randi Gillum, a senior consultant with Maven Asset Management, working with her client, Paula Curtis of Atlanta Public Schools (APS)MOST POPULAR
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