Blogs

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, Director, Data And AI, Asia Pacific, 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 Pak for Data

May 15, 2019 | by Roger Rea, InfoSphere Streams Product Manager
Streams v5.0 for IBM Cloud Pak 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, Content Marketing Director, IBM Data and AI, 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...
IBM InfoSphere DataStage takes data integration to any cloud

IBM InfoSphere DataStage takes data integration to any cloud

May 9, 2019 | by Somil Kulkarni, Program Director, Engineering, Data Connect, IBM
The IBM Institute for Business Value found that 85 percent of companies manage a multicloud environment. That means an overwhelming majority of businesses use a multicloud approach to enable greater flexibility and application modernization. Some companies have found that while some clouds are a...
Turning data into money at speed: The Capitalogix story

Turning data into money at speed: The Capitalogix story

May 7, 2019 | by Holly Vatter, Product Marketing Manager for Data Lake & Hortonworks Partnership, IBM
Learn how Capitalogix harnessed the IBM Integrated Analytics System (IAS) to find insights in their data.
4 reasons it’s time to move from spreadsheets to planning software

4 reasons it’s time to move from spreadsheets to planning software

May 6, 2019 | by Stephanie Freyer, IBM Planning Analytics Marketing, IBM
Spreadsheets are not a good option for planning - there is a better way to be efficient, agile and react to change in real-time.