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Generative AI use cases for the enterprise

IBM Big Data Hub

The process demands high-level skills and resources, but the results are more likely to be compliant, custom-tailored and business-specific. The best option for an enterprise organization depends on its specific needs, resources and technical capabilities.

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#ModernDataMasters: Martin Squires, The Analysis Foundry

Reltio

Martin Squires is a leader with extensive experience in customer insight, marketing analytics & data science. What was your route into technology, data and analytics? In terms of data and analytics it all started when I sneezed and slipped a disc shaving would you believe?”. Kate Tickner, Reltio.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

According to Andreessen Horowitz (link resides outside IBM.com ) , in 2023, the average spend on foundation model application programming interfaces (APIs), self-hosting and fine-tuning models across surveyed companies reached USD 7 million. The AGI analyzes the data and identifies a rare genetic mutation linked to a specific disease.

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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. The results can be apparent quickly.

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2024 State of Cybersecurity: Reports of More Threats & Prioritization Issues

eSecurity Planet

Read on for more details on these threats or jump down to see the linked vendor reports. CrowdStrike: Detected significant signs of credentials theft: 76% YoY increase in victims named on eCrime dedicated link sites. 13% maintain access to company tools or resources after leaving the organization.

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#ModernDataMasters: Steve Whiting, Chief Operations Officer

Reltio

Steve Whiting is the COO of Agile Solutions (GB) Ltd, a specialist data management and analytics consultancy that focuses on tangible business benefits. I worked in several Telcos and latterly in the City for an international insurance company. What are your top 3 tips or resources to share for aspiring modern data masters?

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