Blogs

Voice of the Client: Is AI your priority? Start with a data strategy

Voice of the Client: Is AI your priority? Start with a data strategy

May 23, 2019 | by Melvin Greer, Senior Principal Engineer and Chief Data Scientist - Americas, Intel Corporation
Intel's Melvin Greer, Senior Principal Engineer and Chief Data Scientist, Americas writes about the data strategy necessary to execute the promises of AI and touts their collaboration with IBM on Cloud Pak for Data. But before anyone can execute an AI strategy, they’ll need a data strategy.
Introducing IBM Cloud Pak for Data System

Accelerate your Journey to AI with a Hyper Converged Data and Analytics Platform

May 22, 2019 | by Vikram Murali, Director, Integrated Analytics Systems Development, IBM Data and AI
IBM Cloud Pak for Data System is an integrated end-to-end platform that is cloud native by design, architected as microservices and containerized workloads. It offers instant pre-assembled provisioning and has capabilities to collect, organize and analyze data. It takes the IBM Cloud Pak for Data...
How to Scale the AI ladder: Watch these enterprises

How to Scale the AI ladder: Watch these enterprises

May 21, 2019 | by Daniel Hernandez, VP, Offering Management, Analytics, IBM
There is no AI without data. That’s why we’ve put together a prescriptive set of five steps we call the ladder to AI to help our enterprise clients get their data ready. The journey of the AI ladder starts with collecting the data you need to build models, followed by organizing your data so you...
Top 7 characteristics of a modern data architecture

Top 7 characteristics of a modern data architecture

May 21, 2019 | by Dan Sutherland, Distinguished Engineer & CTO - Data Platforms, IBM
A modern data architecture (MDA) must support the next generation cognitive enterprise which is characterized by the ability to fully exploit data using exponential technologies like pervasive artificial intelligence (AI), automation, Internet of Things (IoT) and blockchain. In addition, an MDA...
Industrializing your AI and data science models with IBM Cloud Private for Data

Industrializing your AI and data science models with IBM Cloud Private for Data

May 16, 2019 | by Karan Sachdeva, Sales Leader Big Data Analytics APAC, IBM
Companies are entering “chapter two” of their digital transformation. The next chapter is all about moving from experimentation to true transformation. It’s about gaining speed and scale. We are helping businesses activate data as a strategic asset, with desire to maximize the impact of AI as core...
IBM’s ongoing investment in IBM Planning Analytics, powered by IBM TM1

Dispelling the myths: IBM’s ongoing investment in IBM Planning Analytics, powered by IBM TM1

May 16, 2019 | by Greg Adams, Vice President Development and Distinguished Engineer, IBM Business Analytics
A few competitors are trying to sow doubt about IBM’s commitment to IBM TM1 and IBM Planning Analytics – which is powered by IBM TM1 – as well as the product’s future, and the implications of the latest upgrade. Let me set the record straight—IBM Planning Analytics isn’t going anywhere. In fact,...
Meet our Technical Experts: Brittany Bogle from the Data Science and AI Elite Team

Meet our Technical Experts: Brittany Bogle from the Data Science and AI Elite Team

May 16, 2019 | by Jennifer Clemente, Creative & Editorial Lead, Data & AI, Cloud, IBM
Learn more about Brittany Bogle in our new series profiling the technical experts helping clients reach their AI and machine learning goals. Her path to data science elite status is what makes her a valuable and unique practitioner for IBM clients.
IBM Streams: A 10-year anniversary, and what's next

IBM Streams: A 10-year anniversary, and what's next

Infuse AI into your data with Streams v5.0 for IBM Cloud Private for Data

May 15, 2019 | by Roger Rea, InfoSphere Streams Product Manager
Streams v5.0 for IBM Cloud Private for Data (ICP for Data) provides a real-time engine within our data platform. The platform simplifies bringing artificial intelligence (AI) into your enterprise processes
Enghouse Interactive reimagines call center automation

Been there, automated that – Enghouse Interactive reimagines call center automation

May 14, 2019 | by Thomas LaMonte, Voice of the Client, Data & AI, Cloud, IBM
Learn how Enghouse Interactive partnered with the IBM Data Science and AI Elite to uphold human contact in the call center.
Bridging the data science skills gap with collaboration

What good are notebooks? Bridging the data science skills gap with collaboration

May 10, 2019 | by Graham Turney, Portfolio Marketing Manager, IBM Data Science and AI, IBM
Predictive modeling and analytics have long been the domain of the data scientist and only the data scientist. But with modern tools, data science is becoming a team sport—business analysts and subject matter experts can join the analysis. While the players may have different skill sets and...

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