Blogs

Upgraded agility for the modern enterprise with IBM Cloud Pak for Data

July 27, 2020 | by Mukta Singh, Program Director of IBM Data and AI, IBM
Your data and AI tools are important, and outcomes are critical, but with today’s data-driven world, businesses must accelerate outcomes while improving IT cost efficiency. But how do you achieve this?  First, Data and AI initiatives must have intelligent workflows where the data lifecycle can work...

Sébastien Piednoir: a delicate dance on a regulatory tightrope

July 24, 2020 | by Thomas LaMonte, Content Marketing Director, IBM Data and AI, IBM
Follow @IBMData Regulations are the music to which businesses perform a delicate dance. If you took to the stage, a move or two out of sync would not cause the floor to drop out from underneath your steps. But for businesses moving to the rhythm of regulations, most particularly for banks and other...

Making IBM Cloud Pak for Data more accessible—as a service

July 21, 2020 | by Maia Sisk, Director, SaaS Offering Management, IBM Data and AI, IBM Cloud and Cognitive Software
Follow @IBMData At IBM, we understand both the exponential benefits AI can offer your organization as well as the unique challenges implementation can present. In 2018, we formalized the AI Ladder to provide a prescriptive approach to successful AI, and to impart lessons we've learned through over...
BARC names IBM a market leader in integrated planning & analytics

BARC names IBM a market leader in integrated planning & analytics

June 25, 2020 | by Dan Cheuvront, Content Producer, IBM
Follow @IBMData The Business Application Research Center (BARC) is an independent company and guarantees neutrality towards all software vendors. In their latest report, BARC Score: Integrated Planning & Analytics Portfolios for planning, reporting and analysis, their overall findings are...
Data and AI Virtual Forum Recap: Adopting AI is All about Organizational Change

Data and AI Virtual Forum recap: adopting AI is all about organizational change

June 24, 2020 | by Lauren Thomas Quigley, PhD, AI Skills - Learning & Certification, IBM Corporation
Follow @IBMData During IBM’s first Data and AI Virtual Forum, a Forrester-led panel of AI leaders – who happen to be women – discussed how their organizations have achieved business-critical AI outcomes in the face of known skills gaps. Moderated by Srividya Sridharan, a vice president of Research...
Max Jaiswal on managing data for the world’s largest life insurer

Max Jaiswal on managing data for the world’s largest life insurer

This story is part of Analytics Heroes, a series of profiles on leaders transforming the future of business analytics.

June 24, 2020 | by Dan Cheuvront, Content Producer, IBM
Follow @IBMData Max Jaiswal is the enterprise data team lead at AIA Australia, a pan-Asian life insurance company with presence in 18 markets across the Asia-Pacific region. The 100-year-old firm is the largest life insurer in the world, and the largest company on the Hong Kong stock exchange, with...
Data Quality: the key to building a modern and cost-effective data warehouse

Data quality: The key to building a modern and cost-effective data warehouse

June 23, 2020 | by Andrew Buckler, Offering Manager, Hybrid Data Management, IBM
Turning raw data into improved business performance is a multilayered problem, but it doesn’t have to be complicated. To make things simpler, let’s start at the end and work backwards. Ultimately, the goal is to make better decisions during the execution of a business process. This can be as simple...
Data governance: The importance of a modern machine learning knowledge catalog

Data governance: The importance of a modern machine learning knowledge catalog

Deliver business ready data with end-to-end governance, quality, consumption, and automation capabilities with IBM Watson Knowledge Catalog

June 22, 2020 | by Kyle Daye, Offering Manager, Watson Data & AI, IBM
IBM Watson Knowledge Catalog (WKC) provides a modern machine learning (ML) catalog for data discovery, data cataloging, data quality, and data governance. Within this framework lies a central Knowledge Catalog that serves as a single source of truth for data engineers, data stewards, data...
Experience faster planning, budgeting and forecasting cycles on IBM Cloud Pak for Data

Experience faster planning, budgeting and forecasting cycles on IBM Cloud Pak for Data

June 22, 2020 | by Dan Cheuvront, Content Producer, IBM
We live in the age of connectivity. Everyone and everything is constantly connected; yet, in most organizations, business unit planning operates in silos. This fragmented approach is often the result of spreadsheet-driven planning processes, which impede collaboration. As we enter a new era of...
Share VSAM data with new environments while reducing operating costs

Share VSAM data with new environments while reducing operating costs

June 19, 2020 | by Davendra Paltoo, Offering Manager, IBM
Follow @IBMData A survey of end-users of Data Integration and Integrity (DII) software conducted by IDC in 2019 found that dynamic data movement, also known as data replication, is best served by stand-alone or platform tools, not custom code. When it comes to replication of data that is located in...

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