The Turing Test is obsolete. It’s time to build a new barometer for AI

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The head scientist for Alexa thinks the old benchmark for computing is no longer relevant for today’s AI era. This year marks 70 years since Alan Turing published his paper introducing the concept of the Turing Test in response to the question, “Can machines think?” The test’s goal was to determine if a machine can exhibit conversational behavior indistinguishable from a human. Turing predicted that by the year 2000, an average human would have less than a 70% chance of distinguishing an AI from a human in an imitation game where who is responding—a human or an AI—is hidden from the evaluator. Read Full Story

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I’ve worked in AI for 2 decades. This flaw in Google’s system shocked me

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The Aible founder’s unsettling experience with Google’s advertising AI reveals the importance of ensuring there is human oversight of automated systems. Algorithms that are trained to find patterns in data—commonly known as AI—have already become a transformative force in business. But a recent experience reminded me of some of the fundamental problems with AI algorithms that are trained to optimize for the wrong things—an issue that can create unforeseen consequences, especially when there is no human oversight. Read Full Story

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Why robots should grow like babies

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To develop robots that are more like humans and less like computers, researchers should take cues from infants. Artificial intelligence seems to be making enormous advances. It has become the key technology behind self-driving cars , automatic translation systems , speech and textual analysis, image processing, and all kinds of diagnosis and recognition systems. In many cases, AI can surpass the best human performance levels at specific tasks. Read Full Story

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How AI fits into the martech landscape

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30-second summary: Today, artificial intelligence, sensors, and digital platforms—and an explosion of data—have already increased the opportunity for learning more effectively; but competing on the rate of learning will become a necessity in the 2020s. The Lean AI Autonomy Scale serves as a framework for assessing how the different capabilities of martech vendors stack up with AI in the industry. All major ad platforms and exchanges are powered today by a dizzying array of complex calculations with the goal of delivering your message to the right audience at the right time — and encouraging people to take an action, buy a product, or a host of other outcomes a marketer might be looking for. Today, we’re at a place where buy-side solutions are emerging that operate a layer above the platforms themselves, working to orchestrate your spend, targeting and even creatives across channels. A range of emerging vendors are out …

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You can now teach Alexa how to do new things—a baby step toward ‘general’ AI

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AI-powered assistants such as Alexa are usually trained by tech companies. Now users can start teaching them too. We are still a very long way from a “general” artificial intelligence—a machine that can learn and comprehend any task or concept a human can. But Amazon is taking a small step toward it with a new feature that lets you teach its Alexa personal assistant how to do new things. Read Full Story

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What leading consultants say about the usage of AI in marketing?

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30-second summary: In Deloitte’s 2019 CMO Survey Report, 56% of participants anticipated using AI for content personalization. 33% of respondents foresee applying AI for improving marketing ROI by optimizing marketing content and timing. Mckinsey’s survey found that 44% of companies reduced operational costs and increased business revenue by using AI in marketing. The Bain and Company found that marketing insights gathered through new machine-learning capabilities helped gain 10x in marketing performance. The company also saw a 25% increase in additional revenue through cross-selling. An EY study of CEOs and business leaders reveals that 62% of respondents believe artificial intelligence will have a significant impact on creating efficiencies at their company. In a survey conducted by BCG, 90% of respondents agreed that artificial intelligence represents a business opportunity for their company. However, 70% of companies report minimal or no impact from AI so far. Marketers have started using artificial intelligence to …

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Why Google, Amazon, and Nvidia are all building AI notetakers for doctors

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Automated medical transcription that’s actually accurate could save doctors a huge amount of time, and the tech giants are getting in on the action. For doctors, taking notes and inputting them into electronic medical records is so cumbersome that they often have to use human medical scribes to do it for them. That’s changing as more hospital systems turn to artificial intelligence-based transcription tools. Read Full Story

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Top 10 marketing-related AI thought leaders to follow

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30-second summary: AI can help marketers deliver better overall customer experiences across all digital channels. The key to success is in using it logically, ethically and in key areas where it can assist, save time and resource and help scale campaigns and performance. To gain a better understanding of the benefits to marketing it is best to build your knowledge from a wide range of perspectives to identify the best use cases. We look at 10 influencers worth following to get a good handle on how AI can and should effect the marketing sector. Adoption of Artificial intelligence (AI) is growing worldwide, with a recent IDC report identifying the ability to deliver a better customer experience, greater employee efficiency and accelerated innovation as the leading drivers for adoption. AI now powers marketing processes across the customer journey, from insights, search optimization and content marketing to personalization conversion optimization, predictive analytics, …

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