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Innovative Manufacturers are Investing in these Advanced Technologies

CIO

The Lowdown on Edge Computing As new enterprise IT infrastructure deploys at the edge instead of in corporate data centers, there’s one main trigger for this shift. An edge computing architecture can begin to help solve these problems. A lot of it.

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Leaning into Retail’s Challenges with Digital Transformation

CIO

Are they successfully untangling their “spaghetti architectures”? Untangling Their ‘Spaghetti Architectures’ Retailers have long used back-end technologies to run specific aspects of their business. And how is that data reconciled into the POS systems to determine in-store product quantity?

Retail 363
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The AI continuum

CIO

Deep learning AI: A rising workhorse Deep learning AI uses the same neural network architecture as generative AI, but can’t understand context, write poems or create drawings. How you use AI will vary based on the nature of your business, what you produce, and the value you can create with AI technologies. Learn more.

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5 hot IT budget investments — and 2 going cold

CIO

Fifty-two percent of organizations plan to increase or maintain their IT spending this year, according to Enterprise Strategy Group. This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%).

Budget 363
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Migrate Your Oracle Workloads to The Public Cloud with Confidence

Apps Associates

Outcome highlights: Cost consolidation / reduction, business continuity, improved future state architecture with ability to leverage breadth of AWS services Pearson plc is the world’s learning company with more than 22,500 employees operating in 70 countries.

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What’s Hot: Join Us at the AWS Summit in New York

d2iq

Like the AWS Summits in Atlanta and Washington DC, the big trends AWS is highlighting at the New York Summit are artificial intelligence (AI), machine learning (ML), analytics, business intelligence, modern applications based on containers, and the Internet of Things (IoT).These

AWS 78
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Fundamentals of Data Engineering

Xebia

. – Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. The data engineer is also expected to create agile data architectures that evolve as new trends emerge.