Blogs

Prescriptive analytics: Manage manufacturing costs and improve ROI

Prescriptive analytics: Manage manufacturing costs and improve ROI

April 14, 2020 | by Sajan Kuttappa, Product Marketing Manager, IBM
Today's manufacturing organizations operate in a dynamic environment characterized by increased complexity and uncertainty. The financial performance of manufacturers hinges on their ability to rapidly adapt to constantly-changing conditions, from demand fluctuations to delivery challenges while...
Optimize healthcare delivery and reduce costs with Prescriptive analytics

Optimize healthcare delivery and reduce costs with Prescriptive analytics

April 14, 2020 | by Sajan Kuttappa, Product Marketing Manager, IBM
Prescriptive analytics offers healthcare decision makers the opportunity to influence optimal future outcomes. Based on decision optimization technology, these capabilities allow users to not just recommend the best course of action for patients or providers, they also enable comparison of multiple...
The rise of decision intelligence: AI that optimizes decision-making

The rise of decision intelligence: AI that optimizes decision-making

April 14, 2020 | by Sajan Kuttappa, Product Marketing Manager, IBM
Today, “doing more with less” is a key principle driving business strategy across many resource-intensive industries. Organisations are looking to get more out of artificial intelligence (AI) and machine learning (ML) than just great insights. They need access to recommendations that help simplify...
3 ways prescriptive analytics helps deliver better financial services

3 ways prescriptive analytics helps deliver better financial services

April 14, 2020 | by Sajan Kuttappa, Product Marketing Manager, IBM
As any financial services executive knows, improving business results with precise, timely decisions is much harder than it looks.
AutoAI: Synchronize ModelOps and DevOps to drive digital transformation

AutoAI: Synchronize ModelOps and DevOps to drive digital transformation

February 19, 2020 | by Julianna Delua, Portfolio Lead, Watson Studio Data and AI, Cloud, IBM
AutoAI, a feature of IBM Watson Studio, helps application developers and data scientists work in concert to increase yields for model and app investments, and orchestrate ModelOps with DevOps.
Build a complete data pipeline with IBM Cloud Pak for Data and Datameer

Build a complete data pipeline with IBM Cloud Pak for Data and Datameer

January 28, 2020 | by Pearl Chen, Content Marketer, IBM Cloud Pak for Data, IBM
To enable companies to get the most out of their machine learning, Cloud Pak for Data, IBM’s leading data and AI platform, partners with Datameer to build an end-to-end pipeline that collects, organizes, and analyzes data and helps infuse AI throughout the business.
Break barriers in the data maturity curve with IBM Cloud Pak for Data and MongoDB

Break barriers in the data maturity curve with IBM Cloud Pak for Data and MongoDB

January 22, 2020 | by Pearl Chen, Content Marketer, IBM Cloud Pak for Data, IBM
As IBM’s leading platform for data and AI, Cloud Pak for Data integrates seamlessly with MongoDB to help data scientists and developers quickly scale the ladder to AI.
Scale data strategies globally with IBM Cloud Pak for Data and CockroachDB

Scale data strategies globally with IBM Cloud Pak for Data and CockroachDB

January 16, 2020 | by Pearl Chen, Content Marketer, IBM Cloud Pak for Data, IBM
Cloud Pak for Data, IBM’s leading data and AI platform, partners with Cockroach to solve multicloud and compliance challenges so organizations can scale their data strategies across the globe.
Empower developers with IBM Cloud Pak for Data and Lightbend

Empower developers with IBM Cloud Pak for Data and Lightbend

January 13, 2020 | by Pearl Chen, Content Marketer, IBM Cloud Pak for Data, IBM
Cloud Pak for Data, IBM’s leading data and AI platform, partners with Lightbend to empower developers to quickly iterate and deliver applications that maximize business value.
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.

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