|:00||TITLE:||Shannon Morse - Host - TekThing, Hak5.org|
Erin Carson - Staff Reporter, CNET
|Stories subject to change up until showtime|
|Daily Tech News Show is powered by, you. To find out more head to dailytechnewsshow.com/support|
|This is the Daily Tech News Round Table for Friday Oct 27th, 2017 From DTNS HQ in LA, I'm Tom Merritt|
|I'm Sarah Lane|
|And I'm Shannon Morse|
|Erin Carson, Staff Reporter, CNET|
|Producer Roger Chang|
|TM||Welcome everyone to our first Round Table show since we reached our Patreon goal. Now for those who might not be familiar with that goal its simply us expanding the regular show into a full-fleged round-table discussion show with last DTNS episode of each month. Instead of a half-hour of Sarah, me and co-contributer covering the headlines that day we do a full hour of meaty discussion with Sarah, myself and two contributers.|
|Should we really worry about automation?|
|to Tom |
Scott, as usual, made excellent points about automation the rise of electronic spreadsheets creating more jobs and less drudgework for accountants. And there are several examples of this dynamic, where the industry is improved by the automation.
Where I feel it falls down is in industries where the automation/robots complete basically all the work. Those accountants were able to take the much more organized and granular info and better serve their clients with more informed analysis and recommendations. In the auto industry, if the robot entirely builds the car, then its done. The end. If the coal mining robot handles all the tasks relevant to getting the coal out of the ground to the surface, then that's done. If each of them then load their products onto self-driving trucks, then it is delivered. People are certainly freed up but for what? The job is done. Those are the industries where there will be some of the strongest trauma.
Dan from no longer warm Michigan
|- Forbes article titled "5 myths about AI you must stop believing|
- the notion that only only low skilled/manual workers jobs will be replaced is incorrect - doctors and lawyers use AI to scan thousands of documents faster, machine learning algorithms can processe and x-rays with superior precision..;.but both jobs require a human touch. convincing a jury, talking to patients, etc.
|5 Myths About Artificial Intelligence (AI) You Must Stop Believing||https://www.forbes.com/sites/bernardmarr/2017/10/03/5-myths-about-artificial-intelligence-ai-you-must-stop-believing/#43eea9332739|
|-- If you've ever felt an online FAQ or automated phone system was better than a human, you should be worried maybe. But even then ....|
|Is Amazon too powerful?|
|Banks Need to Fear Amazon’s Finance Ambitions, McKinsey Says||https://www.bloomberg.com/news/articles/2017-10-25/banks-need-to-fear-amazon-com-s-finance-ambitions-mckinsey-says|
|Amazon and Apple are in the largest companies by Revenue AND by market cap|
- But Amazon is engaging in
- Finance (Did you know Amazon has a small-business lending arm?)
|The St. Louis Post-Dispatch reports public records show Amazon has received licenses for wholesale prescription drug distribution in Nevada, Arizona, North Dakota, Louisiana, Alabama, New Jersey, Michigan, Connecticut, Idaho, New Hampshire, Oregon and Tennessee. Amazon would still need to obtain a pharmacy license by the end of the year in order to sell drugs directly to customers.||http://www.stltoday.com/business/local/amazon-gains-wholesale-pharmacy-licenses-in-multiple-states/article_4e77a39f-e644-5c22-b5e6-e613a9ed2512.html|
|Women in tech|
|Bias, not behavior, holding women back at work, study says - CNET|
- Report published in Harvard Business Review this week
- data analysts from McKinsey & Co. and workplace analytics company Humanyze. issued 100 "sociometric badges" across "all five levels of seniority" in a company at a large, mostly male strategy firm for four months,
- badges measured "movement, proximity to other badges, and volume of tone of voice when speaking. Who talks to whom where people talk, who does most of the talking
- anonymized the data for everything but gender, role, and time spent at company
- findings show men and women behave alike. Conclusion: "Our analysis suggests that the difference in promotion rates ... was due not to their behavior but to how they were treated," the analysts wrote. "This indicates that arguments about changing women's behavior — to 'lean-in,' for example — might miss the bigger picture: Gender inequality is due to bias, not differences in behavior."
- Another study "Women in the Workplace 2017" report from McKinsey & Co. and LeanIn.org (nonprofit founded by Facebook COO Sheryl Sandberg) researchers spoke with 70,000 workers from 222 companies that employ more than 12 million people.
- women earning more college degrees than men for the last three decades but still underrepresented.
- 50%of the men at the same orgs in that study thought 10% of a company's senior leadership is adequate representation for women.
|Sheryl Sandberg: We need to see how far we are from equality - CNET||https://www.cnet.com/news/sheryl-sandberg-diversity-women-workplace/|
|Grace Hopper Celebration: Next-gen women technologists forge a new path - CNET||https://www.cnet.com/news/women-computer-science-majors-diversity-tech-grace-hopper-students/|
|Segregated Valley: the ugly truth about Google and diversity in tech||https://www.theguardian.com/technology/2017/aug/07/silicon-valley-google-diversity-black-women-workers|
|Why Tech Leadership Has a Bigger Race Than Gender Problem|
- Asians—especially Asian women—are among the least likely to be promoted into leadership positions, according to a new study from Ascend Leadership, a nonprofit group for Asian professionals.
- data set of 184,776 employees, 63,299 managers, and 12,856 executives, information collected by the Equal Employment Opportunity Commission between 2007 and 2015 from technology companies in the San Francisco and San Jose areas, a group that covers Apple, Facebook, Cisco, Twitter, Intel, HP, and Yelp.
- Representation of white women in leadership roles rose 17% between 2007 and 2015. all other minority groups lost ground
-13% decline from 2007 and 2015 in the number of black women who even entered the tech workforce. # of Hispanic women declined slightly at the professional and managerial level, with worst leadership representation after Asian women.
|Artificial Intelligence, hype vs. reality|
|AI hype has peaked so what’s next?||https://techcrunch.com/2017/09/30/ai-hype-has-peaked-so-whats-next/|
|Is artificial intelligence hype sowing damaging confusion?||http://www.computerweekly.com/feature/Is-artificial-intelligence-hype-sowing-damaging-confusion|
|AI Hype vs. Reality||https://www.slideshare.net/LuminaryLabs/hype-vs-reality-the-ai-explainer/16-163_Emphasize_empathy_The_more|
|No hype, just fact: Artificial intelligence in simple business terms|
AI has become one of the great, meaningless buzzwords of our time. In this video, the Chief Data Scientist of Dun and Bradstreet explains AI in clear business terms.
|AI does the math faster - "A lot of startups are claiming to do AI when they’re using rules-based automation,”|
- Netflix predictions
- Nest thermostat
AI does more than math (Machine Learning)
- Natural Language Processing
- trained to play Go
- Pattern recognition to aid and speed up medical diagnosis
AI teAches itself
|1:00||Thanks to Erin Carson, Shannon Morse|
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|tm||Plug Monday's guest: Veronica Belmont|
|1:10||END OF SHOW|