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Business

13 posts
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  • Artificial Intelligence
  • Automation

Can Businesses Help Build Trustworthy And Accurate Generative AI?

Automation relies on human dependence on machine intelligence, which is deeply affected by the universal values of accuracy and trust. Automation and efficiency initiatives will be hampered by a lack of adherence to these principles. An entirely novel wave of automation entered the world in November 2022 with the launch of ChatGPT and its potent computational capacity and ability to generate content on its own. Some incorrect content produced by ChatGPT and its rival Bard, however, has damaged public belief in these artificially intelligent machines. While many were enthralled by how quickly these tools could produce content, many were worried…
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  • Artificial Intelligence
  • Data Science

4 Predictions for the Future of AI in Retail

The use of AI within the retail industry has seen a rise in recent years, with the main goals of improving retention, efficiency and ROI. There is now a focus on the practical applications of AI to solve challenges in retail, especially in light of the competitive edge lost by many retail businesses during the pandemic. New trends have been emerging throughout 2022 and the tail-end of 2021, such as price optimization. Ahead of the AI in Retail Summit 2022 in London, we asked four of our expert speakers from Specsavers, Co-op, Shopify and HomeChoice International to give us their predictions for the future of AI in the retail…
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  • Artificial Intelligence
  • Automation
  • Technology

How AI Ads Are Disrupting Marketing

AI marketing is a new way to reach customers that is much more personalized, targeted and engaging than traditional methods. Artificial intelligence is the new frontier of marketing. Marketing with AI has been proven to be a successful strategy for many businesses. It’s is a new way to reach customers and is much more personalized, targeted and engaging than traditional methods. AI marketing can be used for customer service, sales and marketing, lead generation and more. AI ads There are many factors that will affect the success of an AI ad. Some of these factors include the message, the tone and the…
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  • Artificial Intelligence
  • Data Science
  • Machine Learning
  • Technology

AI is Not ‘the Future.’ You Need it Today

How many of you have read the book Frankenstein by Mary Shelley or watched the 1920 fictional play R.U.R. (Rossum’s Universal Robots) by Karel Capek? If you haven’t and you have an inclination towards Artificial Intelligence, you must. That’s where I see the roots of artificial intelligence, stepping out through creative brains. Perhaps, many industry experts call AI a blend of technology and creativity. It was during the mid-1950s when AI research started to explore the possibilities. What started as an academic discipline at a workshop at Dartmouth College in 1956, is today a full-fledged industry empowering numerous industries. It…
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  • Automation
  • Data
  • Technology

How IoT Can Help You Grow Your Business

Internet of Things has become quite a buzzword these days. But what exactly is IoT, and how can it help you grow your business to new heights? Internet of Things is one of the pillars of what’s being called the fourth industrial revolution. IoT is not a single technology but rather involves numerous technologies that work in rhythm with each other. The basic premise behind IoT is to create a network of interconnected devices that constantly communicate with each other and provide the business owner with real-time data. While the concept has more or less existed since the conception of…
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  • Artificial Intelligence
  • Big Data
  • Enterprise

Seven Steps To Effective AI Adoption For Your Enterprise

Today many executives realize that the future success of their business may depend on the ability to effectively implement an AI strategy, to keep pace with rapid AI-driven digitalization across almost all sectors and industries. Businesses want to leverage the immense benefits of AI, including the ability to deliver data-driven insights, improve product-to-market fit, reduce operational costs, and increase customer satisfaction. However, many do not realize what it truly takes for an organization to be AI-ready. The cultural and technological shifts can be challenging, but the rewards can mean a windfall for your company. The question is how to implement AI in…
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  • Artificial Intelligence
  • Automation
  • Data Science
  • Machine Learning
  • People
  • Robotics

How Humans And Machines Can Enhance Each Other’s Strengths With Collaborative Intelligence

“Artificial intelligence is transforming all sectors of the economy, but there’s no reason to fear that robots will replace all human employees. In fact, companies that automate their operations mainly to cut their workforces will see only short-term productivity gains, say the authors. Their research, involving 1,500 firms in a range of industries, shows that the biggest performance improvements come when humans and smart machines work together, enhancing each other’s strengths. People need to train AI agents, explain their outputs, and make sure they are used responsibly. AI agents, in turn, can assist people with information gathering, data crunching, routine…
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  • Artificial Intelligence
  • Data
  • Data Science
  • Machine Learning

Why 87% Of Machine Learning Projects Fail

This article will serve as a lesson on the shocking reasons for your AI adoption disaster. We see news about machine learning everywhere. Indeed, there is lot of potential in machine learning. According to Gartner’s predictions, “Through 2020, 80% of AI projects will remain alchemy, run by wizards whose talents will not scale in the organization” and Transform 2019 of VentureBeat predicted that 87% of AI projects will never make it into production. Why is that? Why do so many projects fail? Here are 10 reasons why. 1. Not Enough Expertise One of the reasons is that the technology is still new to a large…
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  • Artificial Intelligence
  • Data
  • Machine Learning
  • Technology

Artificial Intelligence Business Opportunities: 10 Steps To Implement

Creating a smart algorithm is not yet a given for many entrepreneurs and small businesses, who might lack the resources to launch a successful Artificial Intelligence program. Much like the rest of the world, Artificial Intelligence (A.I.) has a 1% problem. While (very) large corporations benefit from the vast amount of data available to them, as well as a combination of business, technological and regulatory expertise, most SMEs have no such luck. This should however not discourage the brave and bold who seek to embark on a data-science journey. And though there are no shortcuts, there are clear steps to undertake in…
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  • Artificial Intelligence
  • Enterprise
  • People

Recruiting Artificial Intelligence To Create A More Diverse Workforce

In today’s highly competitive business environment, a diverse workforce has become a factor that can give an organization the edge. Winning clients, attracting talent or even securing funding to take a company public can depend on diversity. For example, Goldman Sachs Group recently announced it will no longer support initial public offerings of companies with all-male boards. The returns on diversity are tangible, especially when it comes to innovation: a survey of 1,700 companies across eight countries found that organizations with above-average diversity had, on average, 19 percentage points higher innovation revenues and 9 percentage points higher earnings before interest and tax margins. However, humans are inclined…
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