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11 most in-demand gen AI jobs companies are hiring for

CIO Business Intelligence

Deep learning engineer Deep learning engineers are responsible for heading up the research, development, and maintenance of the algorithms that inform AI and machine learning systems, tools, and applications.

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What a quarter century of digital transformation at PayPal looks like

CIO Business Intelligence

Forward-looking disruptive technologies Although the brand has various cutting-edge technologies in its hands, one of the most relevant for the future development of the business is AI. We’ve been working on this for over a decade, including transformer-based deep learning,” says Shivananda.

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Intelligenza artificiale e gen AI: i quattro elementi per passare al “next level”

CIO Business Intelligence

L’analisi dei dati attraverso l’apprendimento automatico (machine learning, deep learning, reti neurali) è la tecnologia maggiormente utilizzata dalle grandi imprese che utilizzano l’IA (51,9%). Le reti neurali sono il modello di machine learning più utilizzato oggi. Che cosa posso fare con l’IA?

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Cropin’s agriculture industry cloud to provide apps, data frameworks

CIO Business Intelligence

Cropin Apps, as the name suggests, comprises applications that support global farming operations management, food safety measures, supply chain and “farm to fork” visibility, predictability and risk management, farmer enablement and engagement, advance seed R&D, production management, and multigenerational seed traceability.

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Skilled IT pay defined by volatility, security, and AI

CIO Business Intelligence

Some certifications in project management , governance, and architecture also attract big bonuses, with CGEIT (Certified in the Governance of Enterprise IT) pulling in a 14% pay premium, up 27% over the last six months, and TOGAF 9 Certified (The Open Group’s Enterprise Architecture Framework certification) attracting a 12%premium, up 9%.

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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

As it pertains to social media data, text mining algorithms (and by extension, text analysis) allow businesses to extract, analyze and interpret linguistic data from comments, posts, customer reviews and other text on social media platforms and leverage those data sources to improve products, services and processes. How does text mining work?

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Most of the data management moved to back-end servers, e.g., databases. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. a second priority?at