CIO

JULY 18, 2023

But, notes Lobo, “in all geographies, finding well-rounded leadership and experienced technical talent in areas such as legacy technologies, cybersecurity, and data science remains a challenge.” S&P Global also needs complementary skills in software architecture, multicloud, and data engineering to achieve its AI aims. “It

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TechCrunch

OCTOBER 7, 2021

“Most of the technical content published misses the mark with developers. When we interviewed him last July , Hughes explained that he would refer leads to EveryDeveloper when they needed to sort out their content strategy. The book title is a call to these marketers to treat their technical audience differently.

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Perficient

AUGUST 2, 2023

Our award-winning culture attracts and retains proficient people like Courtney Haupt , senior technical consultant. As a senior technical consultant, I help clients better leverage their data. I assist and advise teams when migrating data and infrastructure to Google Cloud Platform (GCP). What is your role?

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Apiumhub

APRIL 8, 2021

With more than 270,000 followers on Twitter, Borne’s influence in data and analytics is widespread. Marcus Borba is a Big Data, analytics, and data science consultant and advisor. Borba has been named a top Big Data and data science influencer and expert several times. Marcus Borba. Monica Rogati.

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TIBCO - Connected Intelligence

JANUARY 11, 2021

The same is true when implementing Master Data Management (MDM). Sun Tzu would advise you to build a plan to defeat these enemies so you can realize MDM’s business value and benefits at your organization. Underestimating data engineering workloads . Failure to balance short term and long . Failure here is not an option.

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AWS Machine Learning - AI

JANUARY 26, 2024

What operational and technical best practices can I integrate into how my organization builds generative AI LLM applications to manage risk and increase confidence in generative AI applications using LLMs? What are some ways to implement security and privacy controls in the development lifecycle for generative AI LLM applications on AWS?

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Existek

SEPTEMBER 28, 2023

Monitoring and maintenance: After deployment, AI software developers monitor the performance of the AI system, address arising issues, and update the model as needed to adapt to changing data distributions or business requirements. Specialists are often available to start work on the project quickly and at competitive rates.

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