Blogs

Reality and misconceptions about big data analytics, data lakes and the future of AI

Reality and misconceptions about big data analytics, data lakes and the future of AI

December 19, 2019 | by Holly Vatter, Product Marketing Manager for Data Lake & Cloudera Partnership, IBM
With the amount of choices surrounding big data analytics, data lakes and AI, it can sometimes be difficult to tell fact from fiction. With more than 40% of organizations expecting AI to be a “game changer,” it’s important to have a complete picture of the capabilities and opportunities available.
This beautiful future depends on data and AI

This beautiful future depends on data and AI

A Danish festival raises the bar by combining sales data, music schedules and weather to reduce wasted stock

December 3, 2019 | by Jennifer Clemente, Creative and Editorial Lead, Data and AI, IBM
With its electro-light tulip garden, disco ball-adorned trees and no stone-left-unturned music lineup, "Denmark’s Most Beautiful Festival" aims to surpass guests’ expectations on safety, comfort and entertainment, from its uncannily clean bathrooms down to its whimsical camp-in-a-beer-can glamping...
Without data, the journey to AI is like a trek through the desert, sans compass

Without data, the journey to AI is like a trek through the desert, sans compass

November 25, 2019 | by Susara Van den Heever, Executive Decision Scientist & Data Science Elite program director for Europe, Middle East & Africa, IBM
James Fisher & Sons had hearty ambitions to build predictive maintenance capabilities for its customers' subsea cables -- but lacked the right data to do so. In a creative pivot, the IBM Data Science and AI Elite team delivered more than what the heritage engineering company bartered for --...
Build cognitive solutions with Financial Services Workbench and Cloud Pak for Data

Build cognitive solutions with Financial Services Workbench and Cloud Pak for Data

November 25, 2019 | by Shikha Garg, Offering Manager at IBM Cloud Pak for Data, IBM
The future of banking is transforming. From changing customer behavior and expectations, rapid innovation in digital technology, burgeoning regulatory requirements, and the macroeconomic environment, the very definition of financial services is changing. For banks to stay relevant, they need to...
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...
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?
Extracting the lifeblood of AI at ExxonMobil

Extracting the lifeblood of AI at ExxonMobil

September 27, 2019 | by Jennifer Clemente, Creative and Editorial Lead, Data and AI, IBM
Seizing the AI opportunity to tap new sources of energy inspired one ExxonMobil leader to take a collaborative approach to its big data problem. Now she’s been recognized by IBM as a top woman AI leader.
3 ways a data catalog can help optimize your business

3 ways a data catalog can help optimize your business

September 13, 2019 | by Andres Avalos, Senior Offering Manager, IBM Watson Knowledge Catalog, IBM
The best data catalogs can automate the process to collect, classify and profile data to ensure the highest standards of quality. Here are three popular use cases detailing why companies are moving towards IBM’s Watson Knowledge Catalog.
Voice of the Client: Anyline teaches smartphones to read with Watson AI

Voice of the Client: Anyline teaches smartphones to read with Watson

July 29, 2019 | by Daniel Albertini, CTO and Founder, Anyline
Anyline uses Watson Machine Learning to enable smartphones to read documents like license plates and serial numbers, as well as take meter readings.
Advancements in streaming data storage, real-time analysis and machine learning

Advancements in streaming data storage, real-time analysis and machine learning

July 25, 2019 | by Sue Green, Product Marketing Manager, IBM Data & AI, IBM
It’s no surprise:  most companies working with stream data today say they are planning to make changes to drive greater value. Advancements in machine learning (ML) and very-high-speed data persistence for real-time analytics are reshaping strategies and architectures. In addition, 88 percent of...

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