IN CASE YOU MISSED IT!

Internet of Things News Friday, May 11 Chocolate chip, Book big data, Big data & more…

[vc_row] [vc_column] [vc_column_text]

What’s new?

[/vc_column_text] [/vc_column][/vc_row] [vc_row el_id=”_big_data_and_a_mathematical_formula_for_great_chocolate_chip_cookies__”] [vc_column width=”1/2″] [vc_separator] [vc_column_text]

Big Data and a Mathematical Formula for Great Chocolate Chip Cookies

[/vc_column_text] [vc_column_text el_class=”topfeed-summary-list”]

  • Author Michael Ohenewants to change all that and has spent years gathering data to free people from the tyranny of the set-in-stone cookie recipe.
  • Ohene, who is an electrical engineer by day, began this journey by trying out lots of different chocolate chip cookie recipes.
  • Based on those numbers, Ohene would determine if the recipe succeeded or failed (by his estimation) in creating a delicious cookie.
  • When asked if he still likes cookies after all these years of research, Ohene responded Thats a good question, and then he paused for a long time.
  • On a final, more self-promotional note, I learned about Ohene at our last Spoon Meetup, where we discussed the future of recipes, which goes to show you that good things can happen when you attend!

[/vc_column_text] [vc_column_text el_class=”topfeed-tags”] Tags: chocolate chip, chocolate chip cookie, book Big Data, chocolate chip cookies, Ohene [/vc_column_text] [/vc_column] [vc_column width=”1/2″] [vc_separator] [vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text] [vc_column_text el_class=”topfeed-embedly”] Big Data and a Mathematical Formula for Great Chocolate Chip Cookies [/vc_column_text] [/vc_column] [/vc_row] [vc_row el_id=”_big_data_demand_big_data_professionals_rises_78_ahead_gdpr_deadline_”] [vc_column width=”1/2″] [vc_separator] [vc_column_text]

Demand for big data professionals rises 78% ahead of GDPR deadline

[/vc_column_text] [vc_column_text el_class=”topfeed-summary-list”]

[/vc_column_text] [vc_column_text el_class=”topfeed-tags”] Tags: big data, big data skills, impending regulatory hurdles, Job Watch Q1, whilst contractor demand [/vc_column_text] [/vc_column] [vc_column width=”1/2″] [vc_separator] [vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text] [vc_column_text el_class=”topfeed-embedly”] Demand for big data professionals rises 78% ahead of GDPR deadline | Big Data | GigaBit [/vc_column_text] [/vc_column] [/vc_row] [vc_row el_id=”_building_smart_city_advice__”] [vc_column width=”1/2″] [vc_separator] [vc_column_text]

Building the Smart City: 8 Things To Get Right

[/vc_column_text] [vc_column_text el_class=”topfeed-summary-list”]

  • Eight Priorities for Smart City Ecosystem Architects
    – A new generation of community and technology leaders, managers and solutions providers is needed to build this smart city ecosystem.
  • A sustainable and well functioning smart city is a tight orchestration of people, processes, policies and technologies working together across the entire smart city ecosystem.
  • A smart city is not about technology, but about using technology together with the various ecosystem layers to create the results residents, businesses, municipal organizations and visitors care about.
  • Effective smart city ecosystem architects unite the needs of policymakers, technologists and innovators to create sensible policies that create the right outcomes.
  • Smart city architects must lead with new policies and public private partnerships.

[/vc_column_text] [vc_column_text el_class=”topfeed-tags”] Tags: smart city, smart city ecosystem, city ecosystem architects, [/vc_column_text] [/vc_column] [vc_column width=”1/2″] [vc_separator] [vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text] [vc_column_text el_class=”topfeed-embedly”] Building the Smart City: 8 Things To Get Right | IoT For All [/vc_column_text] [/vc_column] [/vc_row] [vc_row el_id=”_stories_2018_05_10_future_fishing_big_data_and_artificial_intelligence_”] [vc_column width=”1/2″] [vc_separator] [vc_column_text]

The future of fishing is big data and artificial intelligence

[/vc_column_text] [vc_column_text el_class=”topfeed-summary-list”]

  • Video observation on fishing boats electronic monitoring is picking up steam in the Northeast and nationally as a cost-effective means to ensure that fishing vessels arent catching more fish than allowed while informing local fisheries management.
  • While several issues remain to be solved before the technology can be widely deployed such as the costs of reviewing and storing data electronic monitoring is beginning to deliver on its potential to lower fishermens costs, provide scientists with better data, restore trust where its brokenand ultimately help consumers gain…
  • One way to cut those costs is to spot-check the video footage and compare it to fishermens reports, in a trust but verify system, says Christopher McGuire, marine program director for TNC in Massachusetts.
  • Thats why New England industry experts think that electronic monitoring could actually help to reverselegendarymistrust between fishermen and scientists.
  • While today, only a fraction of New England dayboat fishermen are using cameras, McGuire is hopeful that the industry will reach a tipping point where use of the technology becomes the norm.

[/vc_column_text] [vc_column_text el_class=”topfeed-tags”] Tags: electronic monitoring, New England, fishermen, human observers, dayboat fishermen [/vc_column_text] [/vc_column] [vc_column width=”1/2″] [vc_separator] [vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text] [vc_column_text el_class=”topfeed-embedly”] The future of fishing is big data and artificial intelligence [/vc_column_text] [/vc_column] [/vc_row] [vc_row el_id=”_story_trump_administration_plays_catch_up_artificial_intelligence__”] [vc_column width=”1/2″] [vc_separator] [vc_column_text]

The Trump Administration Plays Catch-Up on Artificial Intelligence

[/vc_column_text] [vc_column_text el_class=”topfeed-summary-list”]

  • At a meeting that mingled industry, academia, and government, the Trump White House framed AI as a path to continued economic dominance over other nations.
  • America has been the global leader in AI, and the Trump administration will ensure our great – nation remains the global leader in AI, the presidents deputy assistant for technology policy, Michael Kratsios said at the meetings opening.
  • Kratsios announced that the Trump administration wanted to help AI development by (carefully) giving companies access to some unspecified government data, and that a new select committee would help government agencies think about and use the technology.
  • The US has previously made progress along these lines: Back in 2016, the Obama administration convened a series of meetings around the country that discussed positive and negative impacts of AI and issued two reports on the technology; Obama spoke to WIRED at length about his hopes and fears for…
  • One way the Trump administration would ensure America wins in AI, he said, is by keeping government intervention in the technologys development to a minimum.

[/vc_column_text] [vc_column_text el_class=”topfeed-tags”] Tags: White House, AI, Trump administration, AI development, White House AI [/vc_column_text] [/vc_column] [vc_column width=”1/2″] [vc_separator] [vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text] [vc_column_text el_class=”topfeed-embedly”] The Trump Administration Plays Catch-Up on Artificial Intelligence [/vc_column_text] [/vc_column] [/vc_row]

Top IOT Courses

Internet of Things (IoT) Automation using Raspberry Pi 2 (1,358 students enrolled)

By Venkatesh Varadachari
  • Read the raw temperature of the multiple sensors using Linux command.
  • Program the sensors to display the updated temperature after a delay of every 10 seconds.
  • Receive an automated email alert when the temperature crosses a certain limit.
  • Connect the sensors to an open source cloud and access the temperature in a web dashboard from anywhere.
  • Retrieve the complete month statistics by visiting the web portal.

Learn more.


Start the Internet of Things (IoT) from scratch (96 students enrolled)

By Dr. Kobkiat Saraubon
  • Build your own IoT projects using NodeMCU based on Arduino platform
  • Write programs to control your hardware
  • Connect your IoTs to cloud services to store/process/share some data

Learn more.