At 1Mby1M, we believe in learning from case studies of successful entrepreneurs. These case studies involve discussions on opportunities and challenges specific to the domain such as Generative AI, E-Commerce, Digital Health, Cyber Security, and FinTech.
>>>For the 19th straight quarter, IBM (NYSE: IBM) has reported declining revenues. But the silver lining in the results was its performance in its strategic imperatives. The company saw strong growth for the cloud, analytics, mobility, and security businesses. The growth wasn’t enough to keep the market happy. Despite the company surpassing market expectations, the stock fell post the result announcement. >>>
Right now, we’re still processing the 2016 US Presidential election, and focusing on blue-collar job losses that led to Trump’s victory.
But the truth is, within the next election cycle or two, we will see the pain being felt not only by blue-collar workers, but also white-collar folks.
Inequality: Technology & Automation: In the 30-50 year timeframe and beyond, technology and automation will create tremendous disruption. 60-80% of ALL jobs will, likely, get automated.
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We hear a lot about deep learning algorithms and their applications on very large data sets. This interview delves into a company and its customer base that works in that area.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as to the company.
Jack Porter: I’m the CEO of Razorthink. We provide a specific segment of artificial intelligence called machine super intelligence, which is the intersection of advanced deep learning and high-performance computing. Our customers are some of the largest customers in the world. We sit on top of their big data stack and we track patterns. >>>
India’s development over the last two decades owes a lot to globalization and IT outsourcing from the West.
Today, the Indian IT-BPO industry employs 3.7 million people.
A large portion of this is relatively low skilled, or at least mid-range skilled positions.
Artificial Intelligence, it seems, will deliver on its promise on many vectors. Low-skilled tasks that can be automated WILL be automated. This will start showing impact relatively soon. Some analysts like HfS research have projected a job loss of 640,000 by 2021.
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Virtual Marketing Assistant sounds like a dream. Signpost is making it real. This is a great story about a very promising company.
Sramana Mitra: Let’s start with introducing our audience to Signpost. What do you do? What kind of customers do you work with? What trends do you align with?
Stuart Wall: Signpost is an artificial intelligent CRM. The idea is that tools like Salesforce provide a very important function, i.e. how can companies keep track of their customers and prospective customers. The problem is a lot of marketing technology, including that of Salesforce, is way too hard to use. It’s difficult to set up and is very manual. >>>
According to a MarketsandMarkets report, the global artificial intelligence (AI) market is estimated to grow at 53.65% annually from $419.7 million in 2014 to $5.05 billion by 2020. The growth in the industry is attributed to the deployment of AI technologies in retail, finance, and healthcare sectors. IBM (NYSE: IBM) is targeting this high growth market with added focus on Watson through acquisitions and strategic tie-ups.
According to a report by Digi-Capital, the augmented and virtual reality market is estimated to grow to $120 billion by the year 2020, compared with the forecast of less than $10 billion in 2016. In 2020, virtual reality (VR) is expected to account for $30 billion of the market while augmented reality (AR) will account for the remaining $90 billion. Billion Dollar Unicorn player Blippar is focused on making a mark in this high growth industry.
After publishing my recent article, Must-read Articles on Artificial Intelligence, in which I’ve shared my thoughts and concerns about AI, some have asked for more.
Here are my in-depth interviews with five (actually six) thought leaders who are deeply engaged in artificial intelligence development today that I hope will provide a good overall perspective on where and how AI is being applied today, where AI stands in 2016: