Artificial Intelligence: Fear Not!

Will AI redefine morality and religion with algorithms? This question generates fear among some congregants’ religious leaders and theologians who believe AI eventually usurps centuries of philosophical and religious scholarship and worship experiences.  As man seeks to explain his existence. AI becomes another competitor for his search. René Descartes proposition  “I think therefore I am” began the Age of Reason characterized by mans’ pursuit of knowledge.  Now the Age of Artificial General Intelligence (AGI) characterizes this pursuit with cognitive learning tools, which replicate human reason, strategy, problem solving and making judgments.  When AGI or “strong AI” is eventually achieved, many expect a Transhumanistic society, with machines encroaching upon…

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Pole-vaulting Unicorn Wins Olympic Gold

Reading time: 3 minutes. Don’t believe in fairy tales! Consider this story: “Today there is only a 4%-8% adoption rate of AI within the corporate world. Within the next 18-24 months we are likely to see this rate explode to 80%-90%.” Fortune’s Demystifying Artificial Intelligence in the Corporation (9 October 2019) citing senior IBM executive, Rob Thomas. The first half of this quote — current state — is way below the vendor and industry analyst-driven consensus in the market. The second half is quite the opposite, way above the market consensus. I have never seen anyone, anywhere, credibly suggest an “overnight” change of that magnitude. What’s going on…

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Incredible Sample Bias and Deception in AI Market Penetration Reports

Reading time: 3 minutes 30 seconds Look at data from firms selling goods and services that involve advanced analytics, machine learning, deep neural networks, and other AI technologies. Do you trust all the numbers they use to pique your interest? Don’t. And don’t wake up on the naive side of the bed. Watch out for intentional (or uninformed) injections of sample bias and techniques that confuse and conflate current state numbers with future state intentions. Sample bias There’s so much sample bias around that I’m convinced it’s a technique many analysts and consultants are required to use. Obvious examples? Any studies that limit respondents to those more likely…

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Google’s Kozyrkov and Alexa’s moxie both impress me – what’s your take?

Should you believe any technology today is artificially intelligent? There’s a battle shaping up over standardized interfaces for voice interface technologies. Who’s going to lead the defacto standard? Two stimulating developments: Cassie Kozyrkov, the head of Decision Intelligence at Google, wrote another brilliant blog post: Artificial Intelligence: Do stupid things faster with more energy! According to her, the scary part of AI isn’t the robots. It’s the people. I’ll explore some of her thinking and advice below. Amazon, along with thirty other vendors – including Harmon, Microsoft, Salesforce, and Sonos – announced the Voice Interoperability Initiative. They set a simple initial goal. Devices should support many “wake words”…

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How to hold off Amazon and other apex predators

Reading time: 2 minutes “Is AI needed to cure this existential business crisis?” explores several approaches to the relatively common existential fear many executives have of being obliterated by an Internet apex predator. The Wall Street Journal reported on 24 September 2019 that A ‘Grass Roots’ Campaign to Take Down Amazon Is Funded by Amazon’s Biggest Rivals. The article claims Walmart, Oracle and mall owner Simon Property Group are secret funders behind a nonprofit that has been highly critical of the e-commerce giant. The authors of the WSJ piece inadvertently checked off the first two of seven strategic alternatives I identified in an April 2019 post: three non-technology…

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Two questions on autonomous cars

The AI that drives autonomous cars can sometimes be deceived by minimal perturbations, such as graffiti on STOP signals or unusual objects coming into view. This is one of the problems facing the undergoing training of autonomous vehicles, which occurs largely via simulation.

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WEEDS

Stay out of the AI technology weeds

Reading time: 5:30 Core recommendation Focus primarily on enterprise business applications that address a strategic business need, built and supported by a leading supplier of that class of application. Three details: If there isn’t a commercial offering available, rethink your investment timing. Act when you find — in production and thoroughly vetted — real-life commercial examples of what your business needs in uses cases very similar to your own. Unless you’re in the enterprise business applications business, don’t develop your own or do-it-yourself. Today’s biggest, most successful application providers may have succeeded by disrupting the previous generation of winners but that justifies looking beyond today’s leaders. Focus A…

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Artificial Intelligence: Reimagine Worship and Worshippers

Rev. Billy Graham once stated, “when used correctly tech could do wonderful things” Observer Technology is reimagining habits for worship and for the worshipper. Vendors now offer mobile apps, social media and websites for the faithful. For example, traveling Catholics can access apps or the Internet to locate nearby services. www.masstimes.org Vendor’s offerings, such as, Subsplash (community engagement) and Tithe.ly (online giving) and Pushpay, enable secure automation for many administrative and management tasks. In doing so, Big Data is now part of doing business as a place of worship. Data is collected on attendees and members’ activities, especially, if a multi-site or mega place of worship. How will…

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Succeed with Do-It-Yourself AI technology (DIY-AIT)

Reading time: 6 minutes DIY-AIT can be one of several valuable tactics for delivering superior operating performance in your mainline business. Apply it carefully, not universally. Be judicious. Use DIY for tactical, opportunistic projects, not major strategic initiatives. It’s also very useful for experimentation and learning. Do not try to emulate Amazon or Google Most big AI-technology leaders such as Amazon and Google “did it themselves” with AIT to achieve superior operating performance in their mainline businesses. They chose to make AIT available to others, both in open source and similar kits and as fee-for-services cloud-based DIY-AIT services. These DIY services are evidence of a “platform strategy.” A…

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