article thumbnail

Decision Making with Uncertainty Requires Wideward Thinking

Andrew White

COVID-19 and the related economic fallout has pushed organizations to extreme cost optimization decision making with uncertainty. As a result, Data, Analytics and AI are in even greater demand. So conventional wisdom (see second example below) was that you needed to focus heavily on a broad data quality program.

article thumbnail

Data Teams and Their Types of Data Journeys

DataKitchen

With this information, data teams can know if everything ran on time and without errors and immediately identify the parts that didn’t. Journeys provide a context for understanding and observing complex elements across and down a data analytic system.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Transforming FSI in ASEAN with Cloud Analytics

CIO Business Intelligence

Its success is one of many instances illustrating how the financial services industry is quickly recognizing the benefits of data analytics and what it can offer, especially in terms of risk management automation, customized experiences, and personalization. .

article thumbnail

What you need to know about product management for AI

O'Reilly on Data

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. There are strategies for dealing with all of this uncertainty–starting with the proverb from the early days of Agile: “ do the simplest thing that could possibly work.”

article thumbnail

What’s New and What’s Next in 2023 for HPC

CIO Business Intelligence

It’s a tall order, and one that will hinge on a few factors: Accelerator deployment and management at scale Changes to power and cooling design decisions at very large scale Open-source deployment of high-performance clusters to run simulation, AI, and data analytics workloads What’s New and Growing Among HPC Users?

article thumbnail

5 Types of Costly Data Waste and How to Avoid Them

CIO Business Intelligence

And the problem is not just a matter of too many copies of data. Approximately duplicated data sets may introduce uncertainty about data quality. Near duplicates immediately raise the question of which is authoritative and why there are differences, and that leads to mistrust about data quality. .

article thumbnail

How data, automation and AI are transforming Business Process Outsourcing into a competitive advantage

IBM Big Data Hub

Manik, VP and senior partner for IBM Consulting, outlined a massive opportunity to strategically redesign the client’s finance operations and payment processing by leveraging AI, data analytics, metrics and automation. “Modern BPO is a creator of growth, differentiation and competitive advantage,” Manik says.