experimentation


How Businesses Can Get The Most Value From Artificial Intelligence

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Many businesses are experimenting with artificial intelligence but lack an understanding of the use cases that deliver real business value. That's according to a new study from digital transformation firm Mindtree, which surveyed 650 global IT leaders on their use of AI in the workplace. It found that 85% of organizations have implemented a data strategy and 77% have invested in some AI-related technologies, with only 31% achieving a return on investment. The research shows that businesses can do more to gain increased value from their investments, although they need to focus on use cases that drive ROI. Suman Nambiar, head of strategy, partners and offering for digital at Mindtree, said: "Artificial Intelligence (AI) is transforming the way businesses across the world are operating, for instance, helping them deliver much more personalized experiences and services to their customers. "AI is delivering measurable business benefits to enterprises which experiment using agile, fast, value-driven innovation models, which can then be rolled out for wider use.


Cloudera Machine Learning for CDP: Purpose Built for the AI-First Enterprise - Cloudera Blog

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Today's modern enterprises are collecting data at exponential rates, and it's no mystery that effectively making use of that data has become a top priority for many. According to a recent survey of 2000 global enterprises by McKinsey & Company, 47% of organizations have embedded at least one AI capability in their standard business processes. This is up from 20% in 2017 and it's clear that this growth has created a global race to enabling the next important evolution of business as we know it: The AI-first enterprise. But what does this actually mean? With investment in AI technologies poised to reach $9.5 billion over the next three years, the imminent opportunity involves embedding data and machine learning intelligence across the business at scale -- predicting the next best move for growth, making every product a data product, or creating entirely new data-driven revenue streams.


Study reveals state of AI implementation among businesses

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Mindtree has released findings from a recent survey which reveal some businesses lack the understanding and mature data infrastructures to make AI a success. The study found most businesses are well underway with AI experimentation, but many still lack an understanding of the use cases to deliver business value and the data infrastructures for making AI a success across the enterprise on a sustainable basis. The survey, which gathered data from 650 global IT leaders from key business markets, found 85% of organisations have a data strategy and 77% have implemented some AI-related technologies in the workplace, with 31% already seeing major business value from their AI efforts. Organisations are achieving their vision to industrialise AI, but many can do more to gain real business value. Greater focus is needed on use cases that deliver business value When implementing an AI strategy, there's a pressing need for use cases to demonstrate business value.


How Businesses Can Get The Most Value From Artificial Intelligence

#artificialintelligence

Many businesses are experimenting with artificial intelligence but lack an understanding of the use cases that deliver real business value. That's according to a new study from digital transformation firm Mindtree, which surveyed 650 global IT leaders on their use of AI in the workplace. It found that 85% of organizations have implemented a data strategy and 77% have invested in some AI-related technologies, with only 31% achieving a return on investment. The research shows that businesses can do more to gain increased value from their investments, although they need to focus on use cases that drive ROI. Suman Nambiar, head of strategy, partners and offering for digital at Mindtree, said: "Artificial Intelligence (AI) is transforming the way businesses across the world are operating, for instance, helping them deliver much more personalized experiences and services to their customers. "AI is delivering measurable business benefits to enterprises which experiment using agile, fast, value-driven innovation models, which can then be rolled out for wider use.


Mindtree Study: Businesses Gaining Value From Artificial Intelligence Experimentation

#artificialintelligence

Mindtree, a global technology services and digital transformation company, today revealed the findings of its recent survey of AI usage across enterprises. The study found most businesses are well underway with AI experimentation, but many still lack an understanding of the use cases to deliver business value and the data infrastructures for making AI a success across the enterprise on a sustainable basis. The survey, which gathered data from 650 global IT leaders from key business markets, found 85% of organisations have a data strategy and 77% have implemented some AI-related technologies in the workplace, with 31% already seeing major business value from their AI efforts. Organisations are achieving their vision to industrialize AI, but many can do more to gain real business value. When implementing an AI strategy, there's a pressing need for use cases to demonstrate business value.


How Businesses Can Get The Most Value From Artificial Intelligence

#artificialintelligence

Many businesses are experimenting with artificial intelligence but lack an understanding of the use cases that deliver real business value. That's according to a new study from digital transformation firm Mindtree, which surveyed 650 global IT leaders on their use of AI in the workplace. It found that 85% of organizations have implemented a data strategy and 77% have invested in some AI-related technologies, with only 31% achieving a return on investment. The research shows that businesses can do more to gain increased value from their investments, although they need to focus on use cases that drive ROI. Suman Nambiar, head of strategy, partners and offering for digital at Mindtree, said: "Artificial Intelligence (AI) is transforming the way businesses across the world are operating, for instance, helping them deliver much more personalized experiences and services to their customers. "AI is delivering measurable business benefits to enterprises which experiment using agile, fast, value-driven innovation models, which can then be rolled out for wider use.


The real reason businesses are failing at AI

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Artificial intelligence (AI) investments are so crucial for business that they now determine the success of organizations. AI optimization allows businesses to generate data insights at a lower cost, expedite the hiring process, customized consumer experiences, and improve security tactics, reported TechRepublic's Tom Merritt in his Top 5: Ways AI will change business. All of these benefits are reasons behind why AI will create $2.9 trillion in business value by 2021, as noted in a previous Gartner report, Leverage Augmented Intelligence to Win With AI. Currently 77% of global organizations have some AI-related technologies implemented in the workplace, a Mindtree Study reported on Wednesday. The report surveyed 650 global IT leaders to determine how they reach success with AI, and where they need improvement.


Businesses gaining value from artificial intelligence experimentation: Mindtree study - ET CIO

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Organisations worldwide are achieving their vision to industrialise artificial intelligence (AI) but many can do more to gain real business value, according to findings of a recent survey by technology services and digital transformation company Mindtree. The survey, which gathered data from 650 global IT leaders from key business markets, found 85 per cent of organisations have a data strategy and 77 per cent have implemented some AI-related technologies in the workplace with 31 per cent already seeing major business value from their AI efforts. The study showed certain business functions such as sales (35 per cent) and marketing (32 per cent) gaining the most value from AI as it accelerates the delivery of improved customer experiences. The most popular technologies deployed by global organisations are machine learning (34 per cent), chatbots (34 per cent) and robotics (28 per cent). "The potential of AI to disrupt, transform and rebuild businesses is clearly felt in the C-Suite even if it is not yet fully understood," said Suman Nambiar, Head of Strategy, Partners and Offering for Digital at Mindtree.


Mindtree Study: Businesses Gaining Value From Artificial Intelligence Experimentation

#artificialintelligence

Mindtree, a global technology services and digital transformation company, today revealed the findings of its recent survey of AI usage across enterprises. The study found most businesses are well underway with AI experimentation, but many still lack an understanding of the use cases to deliver business value and the data infrastructures for making AI a success across the enterprise on a sustainable basis. The survey, which gathered data from 650 global IT leaders from key business markets, found 85% of organisations have a data strategy and 77% have implemented some AI-related technologies in the workplace, with 31% already seeing major business value from their AI efforts. Organisations are achieving their vision to industrialize AI, but many can do more to gain real business value. When implementing an AI strategy, there's a pressing need for use cases to demonstrate business value.


Insights as a Service can accelerate the speed and scale of data-driven intelligence

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In disruptive times, big data and analytics are proving to be essential for firms attempting to generate actionable insights from massive structured and unstructured data sets. Now more than ever, the ability to effectively gain business insights through data can be a competitive edge. It's no wonder "Insights as a Service" (IaaS) is picking up steam, particularly as interest in artificial intelligence (AI) gains ground. Our yearly publication, World Wealth Report 2019[1] also revealed that wealth managers rated "data and analytics innovation" as the leading factor that will impact the wealth management industry in the coming years. With data insights and AI bound to play significant role in next wave of transformation, IaaS, which includes cloud-based services, will further help firms leverage insights to achieve business goals.