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Building a vision for real-time artificial intelligence

CIO

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. Sound familiar?) It isn’t easy. A unified data ecosystem enables this in real time.

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4 core AI principles that fuel transformation success

CIO

Here, in an extract from his book, AI for Business: A practical guide for business leaders to extract value from Artificial Intelligence , Peter Verster, founder of Northell Partners, a UK data and AI solutions consultancy, explains four of them. Agility Around 86% of software development companies are agile, and with good reason.

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A Look Back at the Gartner Data and Analytics Summit

Cloudera

Artificial intelligence (AI) is something that, by its very nature, can be surrounded by a sea of skepticism but also excitement and optimism when it comes to harnessing its power. That immediate access and real-time capability is what keeps businesses agile and enables them to leverage GenAI and other tools successfully.

Analytics 104
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Re-imagining Business Workflows with AI-Powered Automation

CIO

Artificial intelligence (AI) is delivering rapid change for Australian business by raising customers’ expectations, generating new competitive challenges, and creating opportunities for new products and services. Artificial Intelligence

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A Guide to Designing Delightful Dashboards

Speaker: Daniel O'Sullivan, Product Designer, nCino and Jeff Hudock, Senior Product Manager, nCino

We’ve all seen the increasing industry trend of artificial intelligence and big data analytics. Importance of agility and iterative processes. In a world of information overload, it's more important than ever to have a dashboard that provides data that's not only interesting but actually relevant and timely.

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Strategies to Integrate Artificial Intelligence Into Sales Processes

Strategy Driven

These advanced systems suggest automating follow-ups and providing comprehensive analytics, enabling a more strategic approach to client management and upselling opportunities. This means businesses can remain competitive and agile in pricing without sacrificing margins.

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Crisis Management in the Digital Age: Lessons for 2024’s Unpredictable Economy

N2Growth Blog

By utilizing machine learning to streamline processes and leveraging data analytics to gain a deeper understanding of customer behavior, digital tools provide innovative solutions to today’s economic challenges. It is the driving force behind the shift from traditional brick-and-mortar businesses to the virtual world.