Blogs

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.
Keep the train rolling: partner momentum in the data science market

Keep the train rolling: partner momentum in the data science market

February 5, 2020 | by Kyle Weeks, Program Director - Ecosystem Growth and Strategy, Data Science, Data and AI, IBM
How has the newer data science technology such as Watson Studio, Watson Machine Learning and Watson OpenScale been picked up by the business partner community? I mentioned in our previous blog that I was pleasantly surprised at how many IBM Business Partners have established a Data Science practice...
Drive secure volumes of data at scale with IBM Cloud Pak for Data and Figure Eight

Drive secure volumes of data at scale with IBM Cloud Pak for Data and Figure Eight

January 30, 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 Figure Eight to help companies address this growing sensitivity around data and make sure that security lies at the heart of any data-driven AI strategy.
Managing financial services model risk in an age of big data and AI

Managing financial services model risk in an age of big data and AI

January 28, 2020 | by C. Bommireddipalli, Senior Offering Manager, IBM Watson OpenScale
Any financial services firm using AI must revisit its approach to model risk management. The reason is that AI models are evolving faster than the rules-based models that were standard previously. If AI models perform inadequately, major operational losses can grow quickly. Watson OpenScale helps...
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.
Postal services could avoid this seasonal complaint with data and AI

Postal services could avoid this seasonal complaint with data and AI

The IBM Data Science and AI Elite team tackles missed deliveries in the Nordics

December 20, 2019 | by Umit Mert Cakmak, Senior Data Scientist, IBM Cloud and Cognitive Software
The IBM Data Science and AI Elite team showed that PostNord can predict non-deliveries of traceable items depending on address, weather condition, sizes and time of delivery. By leveraging AI, it’s possible to reduce non-deliveries by 50 percent annually, beneficial for both customers and PostNord...
Why DecisionBrain is taking notice of Watson Studio Premium for Cloud Pak for Data

Why DecisionBrain is taking notice of IBM Watson Studio Premium for Cloud Pak for Data

December 17, 2019 | by Filippo Focacci, Founder and CEO, DecisionBrain
When planning for a day of business, how do you calculate the numerous factors that may affect your bottom-line revenue? For Serco, a company which operates a bike-sharing service throughout London, the answer was in their data.

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