Blogs

Martin Gonzalez: tracking costs and maximizing margin with real-time data

Martin Gonzalez: tracking costs and maximizing margin with real-time data

June 11, 2020 | by Dan Cheuvront, Content Producer, IBM
This story is part of Analytics Heroes, a series of profiles on leaders transforming the future of business analytics. Martin Gonzalez is a Regional Cost Accounting Manager for Jabil, a global manufacturing services company based in Florida with more than 170,000 employees worldwide. Jabil...
IBM Cloud Pak for Data: Two years of modernizing your data for AI

IBM Cloud Pak for Data: Two years of modernizing your data for AI

June 10, 2020 | by Dinesh Nirmal, Chief Product Officer, IBM Cloud Paks and VP Cloud Integration, IBM
In early 2018, I had a conversation with some of my leadership team about what we could build to address our client’s most pressing needs. We knew data was growing at an exponential rate, and analytics were critical. Our decision was to build a data and AI platform, one single platform that clients...
Save on infrastructure and operational costs with IBM Cloud Pak for Data

Save on infrastructure and operational costs with IBM Cloud Pak for Data

June 9, 2020 | by Clarinda Mascarenhas, Offering Manager, Cloud Pak for Data, IBM
Modern Data and AI application deployments are expanding through open source containers and hybrid multi-cloud support, but how can you achieve the benefits of infrastructure optimization and unified operationalization without vendor lock-in?   In this era of increasing AI/ML workloads and the need...
Do you have the right talent to put AI to work?

Do you have the right talent to put AI to work?

Join the Data and AI Virtual Forum on June 17

June 8, 2020 | by Paul Ambraz, Director of Marketing, IBM Data and AI, IBM
Around the world, companies are pivoting to adjust to an entirely new reality. Business-as-usual means something far different today than it did just a few months ago. For most enterprises, digital transformation isn’t just a distant business objective—now it’s an imperative to find new ways of...
Building AI trust: iKure + The IBM Data Science and AI Elite team tackle bias to improve healthcare outcomes

Building AI trust: iKure + The IBM Data Science and AI Elite team tackle bias to improve healthcare outcomes

June 5, 2020 | by Jennifer Clemente, Creative and Editorial Lead, Data and AI, IBM
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 and convenient way.
The Health Collaborative: Prescribing data for better health

The Health Collaborative: Prescribing data for better health

June 5, 2020 | by Dwight Blubaugh, Ph. D. Senior Data Analyst, The Health Collaborative
Using data to navigate the COVID-19 crisis From electronic healthcare records to mapping the human genome, data remains critical to quality healthcare. At no time could the significance of healthcare data be more crucial. The COVID-19 crisis has magnified the importance of collecting and...
IBM and Anaconda partner to accelerate AI innovation with the power of open source data science

IBM and Anaconda partner to accelerate AI innovation with the power of open source data science

June 3, 2020 | by Shadi Copty, VP of Offering Management, Cloud Pak for Data, DataOps, and Watson Tools, IBM
The data science market is evolving rapidly. Businesses need to respond to a volatile climate and be able to scale cost-efficiently by automating AI lifecycle management. A key phase in the AI lifecycle is model selection, training, and deployment. Many data scientists and developers today want to...
Machine learning capabilities abound with IBM Product Master

Machine learning capabilities abound with IBM Product Master

June 2, 2020 | by Anup Gandhi, Chief Product Architect & Offering Manager, Persistent, an IBM Business Partner
The integrity and trustworthiness of data or any other master entity is enforced via data quality rules. Customers no longer want to rely on hand crafted rules that can number in the thousands, which in turn also need a lot of maintenance. Riding on the machine learning (ML) wave, customers can...
Four critical data management attributes for AI and digital transformation

Four critical data management attributes for AI and digital transformation

May 29, 2020 | by Kip Yego, Db2 Product Marketing Manager, IBM
Follow @IBMData Many enterprises have a tangled data management system, comprised of an assortment of products assembled together, in an attempt to meet the complex needs of modern day data management. The labyrinth of convoluted data management systems often evolves as a natural response to data...
What Happened to Netezza?

What happened to Netezza?

May 28, 2020 | by Brad Miller, Practice Director, Information & Analytics, Mainline
There are some people, like me, who like to know how the story ends and thus may occasionally read the last chapter before going back and reading the rest of the book. So, I guess this is a spoiler alert. The answer to the question is, “Netezza is still alive, well and evolving and IBM has now come...