The last decade or so has shown massive advancements in the capabilities of storage and data processing like Apache Hadoop and as these big data technologies have grown, so have their uses. Cotton Seed, senior principal software engineer at Broad Institute said that he and his team use genomic research platform they built on Spark, leveraging its SQL querying function and its library of machine learning algorithms. Spark's speed and scalability for data mining and genomic data analysis have made it the number one player in genomics. Overall, Spark has given genomic data analysis the answer it's needed in running real time data seamlessly through a system and offering batch processing applications that are faster than any other platform out there.
AI promises to transform the world. There, Ng was chief scientist and headed the company's (what else) Artificial Intelligence Group, turning the Beijing-based giant into one of only a handful of companies in the world with expertise in each of the major AI categories: speech, natural language processing, computer vision, machine learning, and knowledge graph. After Baidu, I am excited to continue working toward the AI transformation of our society and the use of AI to make life better for everyone." One thing that excites me is finding ways to support the global AI community so that people everywhere can access the knowledge and tools that they need to make AI transformations."
Eurekahedge, a hedge fund data base, said it monitored 23 hedge funds that rely on A.I. In March this year Blackrock, the world's biggest asset manager, said it was relying more on computers to pick stocks. Mr. Ferrucci previously led IBM's development of the Watson computer, a question answering computer system capable of answering questions in a natural language.
From its search platform to mobile device hardware and accompanying technology, the focus has been on giving users consistent access to the internet, regardless of whether they're on a desktop computer in their office or sitting in an airport with their smartphone. Features, which now work with iPhone, include music control, navigation, smart home controls, and conversational search that is surprisingly responsive. Google is also very much interested in developing smart home technology to compete with the likes of Amazon and other major tech players. With the right talent acquisition model, an investment in consumer education, and an appropriate rollout of new AI technologies, the only thing stopping Google from becoming the machine learning leader of the world is Google itself.
Artificial Intelligence is, locally, a computer algorithm tasked with solving input problems based on accessible data and operational parameters, with respect to the amount of computational power available to the algorithm. With the vast field of AI are specific concepts like machine learning and deep learning. A subset of AI, Machine Learning focuses on learning abilities, or how to make machines learn on their own. As a subfield of Machine Learning, and a sub-subset of AI, Deep Learning is automatic learning technology based on deep neural networks.
While every interaction essentially comes down to a natural language conversation, different platform capabilities and usage scenarios dictate which platform makes the most sense for your brand. Voice generally works best for quick interactions, such as tracking a flight. Incorporating natural language processing (NLP) into your assistant depends on its use case. For example, we saw strong upticks in usage of Kayak's Messenger bot when we allowed people to answer questions with simple touch replies.
That advice, quoted in Machine, Platform, Crowd, is well followed by Andrew McAfee and Erik Brynjolfsson in their latest business book, which tries to make sense of the "technology surge" that is bewildering so many executives. We are rapidly moving towards what Marc Benioff, chief executive of the cloud computing company Salesforce, calls an "AI-first world". By harvesting vast consumer data sets, platform companies gain an enormous competitive edge. The dominance of platform providers is demonstrated by the startling fact that Apple captured 103.9 per cent of total operating profits made by all mobile device manufacturers in the third quarter of 2016, according to BMO Capital Markets.
Gartner predicts that, "By 2019, artificial intelligence platform services will cannibalize revenues for 30% of market-leading companies" and "By 2019, more than 10% of IT hires in customer service will mostly write scripts for bot interactions." There aren't many project management tools with AI--it's an industry that has been slow to adopt the umbrella of machine learning and artificial intelligence. Robots and artificial intelligence may automate the tedious tasks that consume a small part of a project manager's time, such as taking information from multiple sources and putting together nice PowerPoint decks, or normalizing project data from incompatible systems. Some even go as far to say that AI will help project managers manage their team management skills.
Y Combinator, which helped bring us Airbnb Airbnb, Dropbox and Stripe, has made multiple investments in AI-enabled bot and digital assistant startups in the past couple years, including Claire for retailers, Penny for personal finance, Ross for lawyering, Luka for activity planning, and the aforementioned Riley. Probably the most active corporate investor in the space is Slack, the popular team messaging platform that launched an app investment fund eighteen months ago. In addition to attracting savvy investors, digital assistant and AI bot startups also hold appeal for acquirers. The sector has already delivered one nice exit with Samsung's acquisition last year of Viv, the AI digital assistant startup founded by the creator of Apple's Siri.
Chatbots may sound like a futuristic notion, but according to Global Web Index statistics, it is said that 75% of internet users are adopting one or more messenger platforms. Although research shows us that each user makes use of an average of 24 apps a month, wherein 80% of the time would be in just 5 apps. Undoubtedly among them are Facebook Messenger, Snapchat, Whatsapp, WeChat etc. They are replacing live chat and other forms of slower contact methods such as emails and phone calls.