Artificial Intelligence (AI) is currently the hottest buzzword in tech. And with good reason--the last few years have seen a number of techniques that have previously been in the realm of science fiction slowly transform into reality. Experts look at artificial intelligence as a factor of production which has the potential to introduce new sources of growth and change the way work is done across industries. According to the report How AI Boosts Industry Profits and Innovations, AI is predicted to increase economic growth by an average of 1.7 percent across 16 industries by 2035. The report goes on to say that, by 2035, AI technologies could increase labor productivity by 40 percent or more, there by doubling economic growth in 12 developed nations that continue to draw talented and experienced professionals to work in this domain.
It's been a busy 24 hours for Facebook, which in a blog post this afternoon announced a trio of new AI-related application-specific hardware designs. Zion is the company's next-generation, large-memory unified training platform; Kings Canyon is an integrated circuit optimized for AI inference; and Mount Shasta is a specialized ASIC for video transcoding. Facebook has added the new infrastructure solutions to the Open Compute Project, a collaborative community the company formed in 2010 devoted to redesigning hardware technology. Facebook is raising the stakes on AI hardware development. In January at CES 2019, the social media giant revealed it is partnering with Intel to develop an inference chip, the NNP-I.
Eric joined Talend as Chief Information Officer in 2018. Prior to Talend, he was the CIO of DocuSign, where he built the company's IT vision, infrastructure design, and led its global organization. Er… (show all) Eric joined Talend as Chief Information Officer in 2018. Prior to Talend, he was the CIO of DocuSign, where he built the company's IT vision, infrastructure design, and led its global organization. Eric spent more than a decade at Informatica in increasingly senior IT roles, most recently as Senior Vice President and CIO.
I always loved products and technology. But ever since I was a child, I was especially fascinated by these big inventions, powered by transformative technological revolution that changed - everything! So I felt extremely lucky, when about 20 years ago, at the beginning of my career, I was just in time for one of these revolutions: when the Internet happened. Through the connected PC, the world we lived in has been transformed from a "physical world" -- where we used to go to places like libraries, and use things like encyclopedias and paper maps, to a "digital world" -- where we consume digital information and services from the convenience of our home. What was especially amazing, was the rate and scale of this transformation.
Artificial intelligence can identify people in pictures, find the next TV series you should binge watch on Netflix, and even drive a car. But on Friday, when a suspected terrorist in New Zealand streamed live video to Facebook of a mass murder, the technology was of no help. The gruesome broadcast went on for at least 17 minutes until New Zealand police reported it to the social network. Recordings of the video and related posts about it rocketed across social media while companies tried to keep up. Why can't AI, which is already used by major social networks to help moderate the status updates, photos, and videos users upload, simply be deployed in greater measures to remove such violence as swiftly as it appears?
The world has become a global village and interactions between people from different parts of the world are increasing day-by-day. Language was one of the major roadblocks in enabling free communication between people all over the world. The natural language processing services of Amazon like Amazon Comprehend and Amazon Translate help us to understand the dominant language any given text text, translate it and perform the sentiment analysis for the incoming textual information. Talend integrates these Amazon AI services to convert end to end applications like real-time sentimental analysis dashboard and multilingual customer care system. A quick example is the sentimental analysis dashboard as shown below. Talend is integrated with Amazon's Comprehend service to identify the customer sentiments in real time and to send the sentimental analysis details to downstream system dashboards. Another example which showcases Talend's integration capabilities with Amazon Comprehend and Amazon Translate services is the creation of a multi-lingual customer care system. The incoming messages are analyzed to understand the dominant language used in it and the text is translated from non-supported languages to supported language automatically. The two Talend KB articles I would recommend getting a detailed overview and hands-on experience about Talend's integration with above two Amazon services are as shown below.
Find more about us on www.virtualeforce.com Virtual eForce LLC is a Seattle-based tech company with mission to prevent mass shooting and save lives. Using the most innovative artificial intelligence (AI) technology, we developed a gun detection, lockdown, active shooter(s) tracking and response system – Gun Lockers & SafeSchool . Guns can be detected using existing surveillance IP cameras and our machine learning algorithms. Security or dispatch will be notified in no time through our messaging, emails and mobile app services, and they can immediately activate building or campus lockdown after confirmation.
Artificial Intelligence is slowly taking over our day to day lives – especially when it comes to the workplace and using tech to enhance and fast-track tasks. There are many sectors in which AI can help improve services – specifically national health services, banking and legal services. Not only do some of the biggest names in tech debate over the future of AI and how it continues to make life easier and better for many, but we are now seeing some of the biggest tech companies now recruiting heavily in AI. But, who is recruiting for AI roles the most and is making big steps in looking toward the future? With AI-related jobs more than doubling over the past three years and job postings related to AI increasing by 119 percent, RS Components has analyzed job posts from some of the world's biggest tech companies to discover who has the highest percentage of AI-related job openings.
I was included in a meeting at Stanford recently on the topic of AI & Machine Learning for FinTech, conducted by AFT Lab, Stanford University. They have an industry-academia annual retreat with industry participation such as BBVA, JP Morgan, Stripe, and few others, including the US Treasury, and US Fed. Some key highlights that I could capture from this event are set out below. The talk centered around various use cases in two categories: front end (onboarding, KYC, vetting, etc) vs backend (fighting fraud, reduce risk). In summary, the day-long event covered interesting aspects, but key takeaway is, try to leverage data sets like transnational data, data collected through clever product instrumentation to train your Machine Learning models.