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Why CIOs should invest in digital through economic headwinds

CIO

Approximately 34% are increasing investment in artificial intelligence (AI) and 24% in hyper-automation as well. By removing it and investing in digital skills, analysts believe organisations can create a more engaged workforce that’s better equipped to sustain future performance.

Security 358
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The AI continuum

CIO

Classical machine learning: Patterns, predictions, and decisions Classical machine learning is the proven backbone of pattern recognition, business intelligence, and rules-based decision-making; it produces explainable results. The price-performance value of consuming AI via the tools you already use is hard to beat.

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Innovative Manufacturers are Investing in these Advanced Technologies

CIO

Answering these concerns, smart factories are moving to another edge: edge computing, where operational data from Internet of Things (IoT) sensors can be collected and processed for insights in near-real-time. With edge computing, those functions are performed much closer to where the data is created, such as on the factory floor.

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Embrace grabs a new funding round amid unveiling of new mobile data intelligence software

TechCrunch

Embrace’s App Performance page. This can be used across industries and for mobile apps like games and social media, but also for the next generation of digital-first industries as more mobile and IoT devices are being used as point-of-sale systems,” Eric Futoran, CEO of Embrace, told TechCrunch. Image Credits: Embrace.

Mobile 246
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Technology Consulting and Solutions: Types and Why It Matters

Openxcell

With a wide range of services, the companies now also offer Cloud Migration, Artificial Intelligence, Cybersecurity, Data Science, and SaaS solutions. As consultancy services have evolved, businesses have become increasingly focused on treating all aspects of their operations separately to foster growth holistically.

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What is enterprise architecture? A framework for transformation

CIO

Goals of enterprise architecture EA is guided by the organization’s business requirements — it helps lay out how information, business, and technology flow together. Artificial intelligence (AI). Business intelligence. Microsoft Azure. Data warehouse. Data modeling. Strategy development.

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Software Outsourcing: Why CEOs Love It

Gorilla Logic

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.