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Should we be preparing ourselves for massive AI-induced technological unemployment? Andrew McAfee and Erik Brynjolfsson, authors of The Second Machine Age: Work, Progress, and Prosperity in a Time of [...]
A successful data and analytic (D&A) function is more than a stack of technologies, or a few people isolated on one floor of the building. D&A should be the [...]
Technology’s impact on the legal industry is spurring a growing market for new in-house Talent — and its not just in e-discovery or cybersecurity. At Legalweek West’s “New Roles in IT for Law Firms and Legal Departments,” speakers shed light on several new and less-noticed jobs currently blooming at law firms and legal departments -- innovation officers, data scientists, and Knowledge Management/ Client Solutions Project Analyst (the last one is so 2000 but always important).
Some good observations for legal operations professionals to consider as they wear their technology hat, including: “business users increasingly expect a better experience for enterprise software. The modern product manager needs to know the customer intimately. This means being obsessed with usage metrics and building customer empathy through online channels, one-on-one interviews, and shadowing exercises to observe, listen, and learn how people actually use and experience products.” More insights to extract
Understand your people, your clients & customers. See The Deloitte Millennial Survey 2017. Some takeaways: They are more comfortable with plain, straight-talking language from business leaders; respond to passionate opinions; and identify with leaders who appeal to anyone who might feel “left out” or isolated. While they recognize the value of technology, 51% feel that they will need to retrain at some point and 40% see automation as a threat to their jobs. Looking forward: while millennials see great potential in GenZ, but believe these younger employees will need a lot of support when they enter the workforce.
Most of us regard self-driving cars, voice assistants, and other artificially intelligent technologies as revolutionary. For the next generation, however, these wonders will have always existed. AI for them will be more than a tool; in many cases, AI will be their co-worker and a ubiquitous part of their lives. If the next generation is to use AI and big data effectively – if they’re to understand their inherent limitations, and build even better platforms and intelligent systems — we need to prepare them now. That will mean some adjustments in elementary education and some major, long-overdue upgrades in computer science instruction at the secondary level.
J.P. Morgan’s quantitative investing and derivatives strategy team issued the most comprehensive report ever on big data and machine learning in financial services. Titled "Big Data and AI Strategies" and [...]
"If you think machines are smart today … wait a year. … The notion that we can go to college for four years and then spend that knowledge for the next 30 is over. If you want to be a lifelong employee anywhere today, you have to be a lifelong learner. And that means: More is now on you. And that means self-motivation to learn and keep learning becomes the most important life skill."