Hype vs. Reality: The AI Explainer

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Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems?

Here’s what AI learnings your business should keep in mind for 2017.

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  • Hey guys,I'm so excited my ex-husband is back after a breakup with the help of a real spell caster called Dr. klin I was going crazy when my husband breakup with me and left me for another woman!! All thanks to Dr. klin the best love spell caster online that helped me to bring back my husband today and restore happiness in my marriage.. I'm Sonia Williams by name i lives in England. My husband breakup with me and left me to be with another woman, and i wanted him back. I was so frustrated and i could not know what next to do again, I love my husband so much but he was cheating on me with another woman and this makes him break up with me so that he can be able to get married to the other lady and this lady i think use witchcraft on my husband to make him hate me and my kids and this was so critical and uncalled-for, I cry all day and night for God to send me a helper to get back my husband!! I was really upset and i needed help, so i searched for help online and I came across a website that suggested that Dr. klin can help get ex back fast. So, I felt I should give him a try. I contacted him and he told me what to do and i did it then he did a spell for me. 28 hours later, my husband really called me and told me that he miss me so much, Oh My God! i was so happy, and today i am happy with my man again and we are joyfully living together as one big family and i thank the powerful spell caster Dr. klin he is so powerful and i decided to share my story on the internet that Dr. klin spell caster is best spell caster online who i will always pray to live long to help his children in the time of trouble, if you are here and your lover is turning you down, or your husband moved to another woman, do not cry anymore, contact this powerful spell caster now. Here’s his contact: Email him at: klinspelltemple@gmail.com ,you can also call him or add him on Whats-app: +2347059014517 , his website:http://klinspelltemple@gmail.com .
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  • Glorious be unto happy love spell the man who make me see reasons that there are still real and genuine spell casters like him. since 3 weeks now i have witness what is called heart broken. my boyfriend that promised me marriage failed me and impregnate me and leave,he dump me,he stop calling" he stop picking my calls,and he no longer respond to me. I have be looking for solution,I fall into the hands of fake spell caster,they rough me off and took my money without help.I have cried,I have weep"and tears runs out of eyes. the silentness in my heart brought me to the deepest path of failure that I lost my job. crying all day,because my life was lonely. so thanks to Dr happy who came into my life and brought me the greatest joy that was lost. i saw his web on happylovespell2@gmail.com while browsing and I contacted him, tell him what am passing through with no doubt because of what i saw about him,was enough to believe. and i was given words of solution on what to do. i can't really help thinking about it i have tried to see what i can do, i manage to provide him half of the money for the spell, and he help me with the rest. after casting the spell, 12hrs later, here comes my boyfriend with a rose flower on his hand and i was even about going out,i saw him in front of my door when he sees me he knee and said he is dying i should forgive him and accept him back he was crying,i can't wait to let him finish I quickly crab him and kiss him, just then" he said he is restless without me, just as the Dr happy said it will be. he brought out a ring and put it on my hand. our wedding day was scheduled,1 week after we got married. today makes it a month and we are living happily I don't know how to praise him enough, he has done me a thing i can never forget in my life. and i can't really share to myself alone, I want you all to help me praise him because if it wasn't for him, i already plan of committing suicide. but right now am now so happy more than i was before. if you fine it difficult to get your ex boyfriend back, contact him via..... email happylovespell2@gmail.com also add him on whats-app +2348133873774
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  • BEST LOVE SPELL TO GET BACK YOUR EX: URGENT LOVE SPELL TO FIX YOUR BROKEN MARRIAGE: CHECK ON DR. TRUST WEB SITE NOW https:https://utimatespellcaster.com My Husband left me and my kids, i was passing though pains, sorrow, heart broke, going crazy,but this is how i restored happiness back in my life by getting my husband back. today with great joy and happiness. I came across a website that suggested that Dr Trust can help solve marital problems, restore broken relationships and so on. So, I felt I should give him a try. I contacted him and he did a spell for me. Two days later, my husband came to me and apologized for the wrongs he did and promise never to do it again. Ever since then, everything has returned back to normal. In my heart i want to appreciate Dr Trust for bringing back my lost husband within 48hours after the spell was cast by him. My husband is back to us since Dr. Trust did the love spell. I am so happy that my Ex husband is back again. Once again thank you Dr. Trust, You are truly a great man. I and my family are living together happily again.. He is true to his word and he is here to help mankind. he is the realest of all spell caster online. he is Dr Trust. You can reach him on his email address or website for any help you may need. His facebook page https://web.facebook.com/Dr-Trust-spell-1918145485174539/ Ultimatespellcast@gmail.com or Ultimatespellcast@yahoo.com Web site: https:https://utimatespellcaster.com WhatApp or Call him +2348156885231
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Hype vs. Reality: The AI Explainer

  1. 1 Hype vs. Reality The AI Explainer January 2017 Produced by Luminary Labs in partnership with Fast Forward Labs
  2. 2 Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems in 2017? In September 2016, Luminary Labs convened 30 executives in healthcare, machine learning, and analytics for a grounded discussion on these questions with machine learning expert Hilary Mason, founder and CEO of Fast Forward Labs, and Sandy Allerheiligen, VP of data science and predictive and economic modeling at Merck. Here’s a synopsis of what we discussed, and what AI learnings your business should keep in mind for 2017. AI and the Near Term
  3. 3 We’ve all seen the sensational headlines: The robots are coming, and they’ll take our jobs! AI can do your job faster and more accurately than you can! The Hype 3
  4. 4 The Reality Human jobs won’t go away, but they will change. Roles will be more creative and specialized as AI is integrated into the workday. Better data leads to better math leads to better predictions, so people using AI can automate the tedious work and take action on the insights.
  5. 5 In the short term AI does the math faster, saving money by automating normally complex processes. It makes your life easier even now, behind the scenes. This is what it looks like today.
  6. 6 The Nest thermostat remembers what temperatures you like and adjusts automatically, like turning the temperature down when you’re away and turning it up when you’re on your way home. This saves users time, energy, and money. Photo: Nest 6
  7. 7Photo: Netflix 7 Netflix’s predictive analytics recommend what you might want to watch next—and what studios should create next— based on viewer data. Amazon, iTunes, Pandora, and other companies use predictive analytics to make better recommendations.
  8. 8 Salesforce Einstein applies natural language processing to analyze text from e-mails exchanged with customers to estimate the likelihood that a user will buy, detect deals a team is at risk of losing, and recommend actions to improve sales. 8
  9. 9 In the longer term AI will transform industries.
  10. 10 For example, algorithms help healthcare professionals recognize anomalies or patterns in medical images with more accuracy than the human eye. Over time, this can result in a library of knowledge that can lead to potential disease cures. 10
  11. 11Photo: NVIDIA Coporation One of AI’s promises is to make self-driving cars safer. Everyday driving decisions, such as whether to stop abruptly or swerve to avoid hitting an obstacle, will be powered by AI. 11
  12. 12 AI will help redesign the entire shopping experience, optimizing everything with more and better data. Retailers will seamlessly stock the precise number of goods needed on shelves at any given time, and know which product at which price should be highlighted to a specific customer as they navigate a store. 12
  13. 13 Where do you start? Five ways to look past the shiny-object phase and into practical AI planning in 2017.
  14. 14 1. Don’t fear the robots. The idea is to augment, not replace, work. AI can absorb cognitive drudgery, like turning data points into visual charts, calculating complex math formulas, or summarizing the financial news of the day into a single report. This frees up people to focus on acting on the insights. Photo: Flickr user joao_trindade 14
  15. 15 2. Start with the problem, not the solution. Before launching an AI program, identify concrete business problems, then consider if AI can help. For example, rather than ask, “What can we use AI for?”, think, “Where could we make our operations more efficient?” or “What decisions are we making without data?” Photo: Flickr user Robert Couse-Baker 15
  16. 16 3. Emphasize empathy. The more machines we employ, the more people skills we need. Leaders must build empathy across the organization to help employees see impact. Focus on how AI can help workers add more human value, rather than replace them. For example, McDonald’s added robots to their franchises, but doesn’t plan to cut human jobs. Photo: Flickr user EasySentrisentri 16
  17. 17 4. Engage the skeptics. Understand what they fear and start there. Fast Forward Labs’ Hilary Mason shared an example of winning buy-in by demonstrating how machine learning could solve a problem for an overburdened regulatory team. 17
  18. 18Photo: Flickr user JDHancock 5. Remember: It’s not magic. If a vendor can’t explain their AI product or service in terms you understand, don’t buy it. Much of what’s called AI today (“AI personal assistants,” anyone?) is actually humans wrangling a trove of data behind the scenes. If it doesn’t make sense, it might not be real. 18
  19. 19 Glossary Some AI terms are used primarily for marketing purposes, while others are more technical. Here are our translations for common terms you may hear, whether you’re being sold an AI product or partnering with a team of AI experts. It’s a great starting point for becoming an AI leader in your organization.
  20. 20 Artificial intelligence (AI): Marketing term that describes a continuum of non-living analytical power, fueled by fast processing and data storage’s declining costs. Applications today are termed weak AI (like IBM Watson), which are algorithms built to accomplish a specific task. Strong AI (like Skynet) is a term for hypothetical future applications that will replicate human intelligence. Big data: Buzzword alluding to a machine’s ability to generate insights and learn from massive data sets, because sensors, software, and recordkeeping generate a lot of data. For example, The Weather Company and IBM researched weather’s impact on business by analyzing millions of data points from weather sensors, aircraft, smartphones, buildings, and vehicles. The big picture
  21. 21 Machine learning: Method of automated analytical model building. Machine learning lets computers find hidden insights without being explicitly programmed where to look. For instance, Facebook’s machine learning software uses algorithms and data points to show a user suggested friends, display relevant ads, and detect spam. Algorithm: Formula that represents a relationship between things. It’s a self-contained, step-by-step set of operations that automates a function, like a process, recommendation, or analysis. For example, Netflix’s recommendation algorithms can predict what movies a consumer might want to watch based on their viewing history. Most important to remember
  22. 22 Deep learning: Branch of machine learning that uses multiple layers of distributed representations (neural networks) to recognize patterns in digital sounds, images, or other data. For example, Google’s DeepDream photo- editing software allows neural networks to “hallucinate” patterns and images in a photo. Neural networks: Computational approach that loosely models how the brain solves problems with layers of inputs and outputs. Rather than being programmed, the networks are trained with several thousand cycles of interaction. Businesses can use these to do a lot with a little; for example, neural networks can generate image captions, classify objects, or predict stock market fluctuations. Nuts and bolts
  23. 23 Natural language processing: Field of study in which machines are trained to understand human language using machine-learning techniques. It’s useful for automatic translations, chatbots, or AI personal assistants. Think of the robot voice that picks up your helpline call and asks, “What can I help you with?” or an automated chatbot that responds to your texts. Parsing: The process of evaluating text according to a set of grammar or syntax rules. You can build algorithms that parse text according to English grammar rules, for example, to aid natural language processing. Nuts and bolts
  24. 24 Recommended reading
  25. 25 AI: The big picture • The Hype and Hope of Artificial Intelligence, The New Yorker • What Counts as Artificially Intelligent? AI and Deep Learning, Explained, The Verge • The Extraordinary Link Between Deep Neural Networks and the Nature of the Universe, MIT Technology Review • The Competitive Landscape for Machine Intelligence, Harvard Business Review • What Do People—Not Techies, Not Companies—Think About Artificial Intelligence?, Harvard Business Review
  26. 26 How companies use AI today • An Exclusive Look at Machine Learning atApple, Backchannel • Preparing for the Future ofArtificial Intelligence, White House Blog • Using Artificial Intelligence to TransformHealthcare with Pinaki Dsagupta, Hindsight, Startup Health • Beyond Siri, The Next-GenerationAI AssistantsAre Smarter Specialists, Fast Company • Infographic:What You Need to Know About Google RankBrain, Contently • Facebook is GivingAwaythe Softwareit Uses to Understand Objects in Photos, The Verge • How AI is Changing Human Resources, Fast Company • Beyond Automation, Harvard Business Review
  27. 27 Ethical considerations • The Head of Google’s Brain Team is More Worried about the Lack of Diversityin Artificial Intelligence than anAI Apocalypse, re/code • The Tradeoffs of Imbuing Self-Driving Cars With Human Morality, Motherboard • If We Don’t WantAI to Be Evil, We Should Teach It to Read, Motherboard • The Ethics of Artificial Intelligence, Nick Bostrom • Twitter Taught Microsoft'sAI Chatbotto be a RacistAsshole in Less Than a Day, The Verge • AlgorithmsAre BiasedAgainst Women and the Poor, According to a Former Math Professor, The Cut • Elon Musk elaborateson hisAI concerns, Sam Altman YouTube interview
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