Blogs

Unpacking Gartner’s assessment of IBM in the 2019 Magic Quadrant for Operational DBMS

Unpacking Gartner’s assessment of IBM in the 2019 Magic Quadrant for Operational DBMS

November 26, 2019 | by Matthias Funke, Director Hybrid Data Management, IBM Analytics
With the publication of Gartner’s 2019 Magic Quadrant (MQ) for Operational Database Management Systems, we were happy to see recognition of some of our key efforts from the past year. The integration of the Db2 common SQL engine and other rich features, edition simplification, commitment to...
Experience the power of big data with Apache Spark and Cloud Pak for Data

Experience the power of big data with Apache Spark and Cloud Pak for Data

November 19, 2019 | by Shikha Garg, Offering Manager at IBM Cloud Pak for Data, IBM
In the latest release of IBM Cloud Pak for Data, v2.5 has three key themes: Red Hat integration, new key built-in capabilities like Watson tools and runtimes, and a heavy focus on open source .(https://www.ibmbigdatahub.com/blog/announcing-cloud-pak-for-data-2-5). Open source is widely adopted in...
Siemens and IBM showcase AI-based, CO2 friendly advisor

Siemens and IBM showcase an AI-based, CO2 friendly advisor

AI, IoT and Blockchain could be strategic tools in helping Siemens change its workforce culture on the way to a zero-carbon future

November 12, 2019 | by Mahran Meissner, Technology and Security IT Architect, Siemens AG
Making the case for AI, or any nascent technology for that matter, can be a struggle for companies today. While large enterprises know they need to be fast, agile and innovation-obsessed to survive disruption, their age-old policies, antiquated systems, disconnected data and entrenched corporate...
Extracting the value of location and time data just got simpler with IBM Cloud Pak for Data

Extracting the value of location and time data just got simpler with IBM Cloud Pak for Data

October 28, 2019 | by Julianna Delua, Portfolio Lead, Watson Studio Data and AI, Cloud, IBM
Proper use of time series and location data in prediction and optimization can considerably boost the yield of data science and AI initiatives. Using them properly in AI applications has been challenging, but spatiotemporal functions, implemented as part of Analytic Engines in Watson Studio, are...
Cloud Pak for Data:  The developer’s journey in a data and AI platform

Cloud Pak for Data: The Developer’s journey in a data and AI platform

October 24, 2019 | by Clarinda Mascarenhas, Offering Manager, Cloud Pak for Data, IBM
This unified end-to-end platform, Cloud Pak for Data, delivers these data and AI capabilities as container-based microservices that help to power new and existing enterprise applications to run on cloud or on-premises. The platform makes it easy to implement data-driven processes and operations and...
IDC report names IBM the #1 market leader in AI

IDC report names IBM the #1 market leader in AI

October 8, 2019 | by Thomas LaMonte, Content Marketing Director, IBM Data and AI, IBM
Among organizations investing in AI hardware, software or services, more will buy IBM and rely on Watson than any other vendor. This according to a new IDC report which names IBM as 2018’s market leader in AI. So just what sets apart IBM as leader of the AI provider pack?
Kelly Combs article

Behind this AI is the woman shaping its future: Meet Kelly Combs, KPMG

October 4, 2019 | by Thomas LaMonte, Content Marketing Director, IBM Data and AI, IBM
Learn how Kelly Combs, a recognized woman leader in AI, steers responsible AI in KPMG with IBM Watson OpenScale.
Data science: Breaking down the silos

Data science: Breaking down the silos

Activating the combined power of business, data and application professionals

October 3, 2019 | by Graham Turney, Portfolio Marketing Manager, IBM Data Science and AI, IBM
Today’s data science and analytics teams are often composed of individuals with a variety of skill sets, educational backgrounds, levels of exposure to open source tools and professional needs. Here’s a typical breakdown: Business professionals need straightforward ways to first discover and then...
The rise of decision intelligence: AI that optimizes decision-making

The rise of decision intelligence: AI that optimizes decision-making

October 2, 2019 | by Sajan Kuttappa, Product Marketing Manager – IBM Decision Optimization, IBM
Today, “doing more with less” is a key principle driving business strategy across many resource-intensive industries. Organisations are looking to get more out of artificial intelligence (AI) and machine learning (ML) than just great insights. They need access to recommendations that help simplify...
Faster ROI for AI: Watson Studio Premium for IBM Cloud Pak for Data

Faster ROI for AI: Watson Studio Premium for IBM Cloud Pak for Data

October 1, 2019 | by Alex Fleischer, Client Technical Specialist, ILOG Optimization Europe, IBM
IBM Watson Studio Premium for Cloud Pak for Data includes IBM Decision Optimization, SPSS Modeler and more.  Read why you need this for your data.