2022 Access Data science Government 
IBM Big Data Hub
AUGUST 11, 2023
Today, 35% of companies report using AI in their business, which includes ML, and an additional 42% reported they are exploring AI, according to the IBM Global AI Adoption Index 2022. MLOps is the next evolution of data analysis and deep learning. How to use ML to automate the refining process into a cyclical ML process.
Collibra
JULY 13, 2023
They say, “Bob or Mary is ensuring good data management with governance, quality, lineage. Data is their responsibility.” So what comes first: The data or the model? In November 2022, AI leaped into mainstream awareness, crossing the chasm of product adoption with OpenAI’s transformative offerings. AI is dead!
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IBM Big Data Hub
OCTOBER 4, 2022
Furthermore, 59% of executives claim AI can improve the use of big data in their organizations, facts about artificial intelligence show. ( IBM Global AI Adoption Index 2022.). This is due to: An inability to access the right data. The solution: AI Governance. What is stopping AI adoption today?
The Last Watchdog
JUNE 13, 2022
Among them: an expanding digital footprint, growing attack surfaces, and increasing government regulation. According to Gartner, 45 percent of organizations worldwide have experienced attacks on their software supply chain in 2022, a threefold increase from 2021. Leveraging data science.
Collibra
JUNE 27, 2023
1) How can institutions of higher education use data to start making strategic decisions? It allows the creation of a federated data marketplace for faster insights and supports popular business intelligence tools such as Tableau.
Collibra
APRIL 9, 2021
On that topic, I had the opportunity to speak on a webinar that brought together insurance data experts from Deloitte in the UK, and data and analytics leader Peter Jackson, who heads up group data sciences for Legal & General. Data governance holds key to cloud migration. Drivers for cloud adoption.
IBM Big Data Hub
MAY 9, 2022
A data fabric is an architectural approach to simplify data access in an organization to facilitate self-service data consumption. This architecture is agnostic to data environments, processes, utility and geography, all while integrating end-to-end data-management capabilities. Multicloud data integration.
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