Technology drives new era of fashion e-commerce

    • ‘With new technology, retailers can do business in a place where they have no operations office and rely solely on remote monitoring, resulting in significant savings in money and time.’
    • ‘E-commerce is hardly affected [by the trade friction] because any order below US$800 is tax-exempted. This has encouraged some traditional businesses to start an e-commerce operation – and they soon realise that the cost to do e-business in one market is not much different from doing business in several markets,’ Mr Lee said.”

    Banking Brands Can’t Keep Pace With Digital Giants Without AI

    • “According to an MIT Sloan report cited by IBM, 81% of all enterprises do not understand what data is required for AI
    • Many smaller banks and credit unions do not have the core capabilities or budget to create AI solutions internally, nor do they have to. The reality is that AI solutions will in most cases be built and “productized” by the big players in the space, who will then turn around and offer them to smaller financial institutions. Both parties benefit in this type of collaboration..”

    Vikram Bhalchandra of Clairvoyant,

    Consortium of Tech Firms Sets AI Benchmarks

    • “Andrew Ng, founder of Landing AI, speaking at a conference in Las Vegas in June. Landing AI is part of MLPerf, the consortium behind the new standards. PHOTO: MARK RALSTON/AGENCE FRANCE-PRESSE/GETTY IMAGES
    • David Schubmehl, research director for AI systems at IDC, said benchmarks can help companies better address the complexities around AI adoption, allowing them to make apples-to-apples comparisons on the many AI software and hardware tools available.”

    Use of Artificial Intelligence to detect fraud set to triple by 2021: Survey

    • “While only 13 percent of organizations use AI and ML to detect and deter fraud, another 25 percent plan to adopt such technologies in the next year or two
    • Similarly, about half of organizations anticipate employing predictive analytics/modeling (52 percent and up from 30 percent as of today) and data visualization (47 percent from current 35 percent).”

    What it really takes to scale artificial intelligence

    • “To scale up AI, companies must make three shifts. First, they must transition from siloed work to interdisciplinary collaboration
    • Second, they must switch from experience-based, leader-driven decision making to data-driven decision making,
    • Finally, they must move from rigid and risk averse to agile, experimental, and adaptable,
    • To ensure the adoption of AI, companies need to educate everyone, from the top leaders down. To this end, some companies are launching internal “analytics academies,” which provide leaders a foundational understanding of AI”