Blogs

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
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 comprised of data...
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 @IBMAnalytics 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...
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
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 assets of USD $...
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...
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...
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...
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
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 Virtual Storage...
How to use AI to optimize queries and automate resource management

How to use AI to optimize queries and automate resource management

June 19, 2020 | by Kevin Oliver, Portfolio Marketing Manager, Hybrid Data Management, IBM
As companies progress on their Journey to AI, there is considerable focus on what needs to be available to build AI driven applications. The rungs of the AI ladder, which are best described as Collect, Organize, Analyze, Infuse, and Modernize are designed to strengthen a company’s use of AI....
Cloud Pak for Data V3.0 Ushers in New Leap in AI Platform

Cloud Pak for Data V3.0 ushers in new leap in AI platform

June 19, 2020 | by Sampada Basarkar, Director, IBM Cloud Private for Data, IBM Analytics
Today, we are pleased to announce the general availability of IBM Cloud Pak for Data V3.0. Over the past two years we have advanced our platform from a collection of mostly IBM data services to a robust end-to-end data & AI solution that serves, along with the other IBM Cloud Paks. With V3.0,...
Standard Bank Group is preparing to embrace Africa’s AI opportunity

Standard Bank Group is preparing to embrace Africa’s AI opportunity

June 15, 2020 | by Dumisani Mthimkhulu, Head of Data Asset Management, Standard Bank Group
Africa is no stranger to the challenges of infectious diseases. Since 2015, hawse have addressed the likes of Bubonic Plague, Dengue Fever, Ebola, Measles, Middle East Respiratory Syndrome (MERS), Yellow Fever, and Zika Virus—at the cost of hundreds of thousands of lives across the continent. As...

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