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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

With its vast assortment of sensors and streams of data that yield digital insights in situ in almost any situation, the IoT / IIoT market has a projected market valuation of $1.5 trillion by 2030. trillion by 2030.”. One group has declared , “IoT companies will dominate the 2020s: Prepare your resume!”

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Leading innovation in digital infrastructure for a digital and sustainable APAC

CIO Business Intelligence

Oxford Economics, a leader in global forecasting and quantitative analysis, teamed up with Huawei to develop a new approach to measuring the impact of digital technology on economic performance. Ongoing innovation in digital technologies is now essential to support its expansion.

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

trillion in economic benefits by 2030. This can be quantified by measuring metrics like tree cover, habitat integrity and number of species, and is guided by sustainable development principles. The goal is for there to be more nature by 2030 than there is today—which means taking actionable steps in 2024.

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Why Data Will Power the Self-Driving Car Revolution

Sisense

AVs of the future will require different types of storage — and lots of it — to gather data from LiDAR, radar, cameras, and other sensors as well as in-vehicle infotainment, navigation systems, and maintenance data. The data collected by AVs in the U.S. What if this data is also used for open warrants? Advertising?

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AI in marketing: How to leverage this powerful new technology for your next campaign

IBM Big Data Hub

A recent study by Price Waterhouse Cooper (PwC) estimates that by 2030, artificial intelligence (AI) will generate more than USD 15 trillion for the global economy and boost local economies by as much as 26%. (1) 1) But what about AI’s potential specifically in the field of marketing? What is AI marketing?

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Conversational AI use cases for enterprises

IBM Big Data Hub

billion by 2030. Marketing and sales: Conversational AI has become an invaluable tool for data collection. It assists customers and gathers crucial customer data during interactions to convert potential customers into active ones. Prioritizing tracking metrics accurately measures the success of your implementation.

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The cloud’s green revolution: Balancing digital growth with sustainability in the age of AI

CIO Business Intelligence

of the worlds electricity by 2030. Many are turning to cloud technologies for their scalability, real-time data access, and collaboration capabilities. On the other side, AI can also automate data collection for sustainability regulations, analyse this data, and generate reports and insights for steering and investment decisions.