information technology software


Finding and Sourcing Employees in the Digitization Era

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YES? 3. ArtisanTalent.com 3 QUICK DEFINITIONS ARTIFICIAL Not naturally occurring BOTS Automated software applications INTELLIGENCE Ability to think, learn, and understand 4. ArtisanTalent.com 4 In 2017 alone, Google launched an AI-based job search engine Google for Jobs and a new recruiting application Google jumping into HR tech legitimizes the ideas we've all been trying to champion." VS. 9. ArtisanTalent.com 9 THE BOTS AI and bots offer powerful advantages in the recruiting process 10. ArtisanTalent.com 10 THE BOTS PROS 1 2 3 Speed and efficiency Removing unconscious bias Greater insight into candidate quality 11. ArtisanTalent.com 11 THE BOTS CONS Inability to read and react appropriately to human emotion Can't offer human connection Inadequate to determine soft skills and interpersonal skills 1 2 3 12. ArtisanTalent.com 12 THE BOTS Ideal roles • Build talent networks/ pipelines • Develop multichannel sourcing • Screen best fit for a role based on resume • Process resumes and update contacts • Run background checks • Check references • Conduct standard initial screening Automated computer programs work well for tasks that are "rule-based" and don't require creativity or interpersonal skills 13.


2018: Innovation -- Trends and Opportunities – The Innovation Machine – Medium

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Technology is moving at an incredible pace. We live in an amazing era where things like autonomous cars, personalized medicine and quantum computing are becoming real as we speak; Artificial Intelligence, crypto-currencies, advanced automation, deep learning and concepts like Universal Basic Income are about to reshape our world -- what an exciting era to live! It is not feasible to summarize the trends of technology and opportunities for innovation in a single article. Instead, I am listing below the areas I find most exciting to watch -- the most promising developments in the wider information technology spectrum. Everybody is talking about Artificial Intelligence these days.


Hype to Reality: How Artificial Intelligence (AI) Can Transform Health and Healthcare - Health IT Buzz

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Artificial intelligence (AI) – the ability of computers to learn human-like functions or tasks – has shown great promise. What was previously considered the sole domain of human cognition is already being leveraged successfully across many industries. Now, the technology sector is witnessing what appears to be important new advances in AI that are bringing a new wave of interest for how it might shape the future of health and healthcare. The rapid digitization of health data through the use of heath information technology (health IT) in the United States has created major opportunities in the use of AI. Innovators and experts see potential in using digital health data to improve healthcare and health outcomes from the home to the clinic to the community.


How machine learning can be used to write more secure computer programs

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Check out the tutorials and sessions on tools and methods for managing and analyzing graphs and time-series data at Strata Data San Jose, March 5-8, 2018. Hurry--best price ends January 19. Subscribe to the O'Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. In this episode of the Data Show, I spoke with Fabian Yamaguchi, chief scientist at ShiftLeft.


What most people don't understand about AI and the the state of machine learning

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Though the term was officially coined in the 1950s, Artificial Intelligence (AI) is a concept that dates back to ancient Egyptian automatons and early myths of Greek robots. Notable attempts to define AI include the 1956 Dartmouth conference and the Turing test, and passionate AI advocates persist to explain the concept to the world in a way that is distinguishable and digestible. AI is a topic of mystery, wonder, and seemingly endless possibilities. However, it remains elusive to the general public, and is often portrayed negatively in predictions of its future. To combat the cycle of fear induced by Hollywood's versions of AI, we need to understand, clearly, what artificial intelligence is.


Top 7 Chatbot Development Platforms to build your own Chatbot

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When it comes to building your own chatbot, there is a common confusion that prevails among the general mass, that is, the difference between chatbot development platform and publishing platform. A Chatbot Publishing Platform is a medium through which a chatbot can be accessed by its users, common example being Facebook Messenger. A Chatbot Development Platform, on the other hand is a tool/ application through which one can create a chatbot.A Chatbot platform allows you to add more functionality to your bot by creating a flow, machine learning capabilities, API integration etc. So, if you're planning to build your own chatbot, here are top 7 Chatbot Development Platforms to build your own Chatbot On. Chatfuel was born in the summer of 2015 with the goal to make bot-building easy for anyone.


Bowling For AI: Booz Allen Hamilton And Kaggle Launch Data Science Bowl 2018

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Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ... Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... Google announces scholarship program to train 1.3 lakh Indian developers in emerging technologies 43806 views Want to be a millionaire before you turn 25? Study artificial intelligence or machine learning 43173 views


Artificial intelligence: What changed in 2017 and what to expect in 2018

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Artificial intelligence (AI) is one of those technologies that excites the public and business imagination alike. Long since a favourite theme in science-fiction, it is now gaining traction in everyday practical scenarios. In 2017, we saw a considerable rise in the adoption of AI around the world and across industries, with businesses using it to improve operations, generate new innovations and boost customer experience. See also: Will 2018 be the year blockchain and AI meet? With financial services, telecoms and high tech leading the way in bringing AI into the mainstream, and other areas such as automotive, healthcare, energy and retail also embracing it, we expect the rapid growth of AI to continue in 2018 as companies strive to get the most value and competitive advantage from the data they capture.


Three Indian American Professors Named Fellows of the Association for the Advancement of Artificial Intelligence

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Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ... Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... Google announces scholarship program to train 1.3 lakh Indian developers in emerging technologies 43803 views Want to be a millionaire before you turn 25? Study artificial intelligence or machine learning 43170 views


Simple Tutorial on Regular Expressions and String Manipulations in R Tutorials & Notes Machine Learning HackerEarth

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Earlier we could match and extract the required information from the given text data using Ctrl F, Ctrl C, and Ctrl V. Isn't it? Probably, some of us still do it when the data is small. But this approach is slow and prone to lots of mistakes. In text analytics, the abundance of data makes such keyboard shortcut hacks obsolete. Because of the data volume and its complicated (unstructured) nature, we require much faster, convenient, and robust ways of information extraction from text data.