HOW WILL ARTIFICIAL INTELLIGENCE CHANGE THE WORLD? When Artificial Intelligence initially came, creators were concerned that the new technologi
HOW WILL ARTIFICIAL INTELLIGENCE CHANGE THE WORLD?
When Artificial Intelligence initially came, creators were concerned that the new technologies will take their jobs but as they embraced AI and machine learning, their opinion changed and now they believe that creators will be able to increase their value through design thinking. It provides more levy for creatives to spend their time focusing on what they do best-being creative, scaling their ideas and allowing them to focus on ideation. Merging online and offline experiences is the biggest driver of change for the creative community, followed by adoption of data and analytics and the need for new skills.
Also, to enhance user experience with AI, Alphabet has kicked off new research initiative aimed at improving human interaction with AI systems. The People + AI Research (PAIR) program currently encompasses a dozen people who will collaborate with Googlers in various product groups as well as outsiders like Harvard University professor Brendan Meade and Massachusetts Institute of Technology professor Hal Abelson. The objective of the research is refinement in the interfaces of the smarter components of some of the world’s most popular apps. And Google’s efforts here could inspire other companies to adjust their software, too.
The PAIR program takes inspiration from the concept of design thinking, which prioritizes the needs of people who will use the products being developed. While end users such as YouTube’s 1.5 billion monthly users — can be the target of that, the research is also meant to improve the experience of working with AI systems for AI researchers, software engineers and domain experts as well. The new initiative fits in well with Google’s increasing focus on AI. Google CEO Sundar Pichai has repeatedly said the world is transitioning from being mobile-first to AI-first, and the company has been taking many steps around that thesis. Recently, for example, Google formed a venture capital group to invest in AI start-ups.
The new thing is that Googlers are trying to figure out how to improve design specifically for AI components. It is important because AI is used in a whole lot of places around Google apps, even if you might not always realize it. Video recommendations in YouTube, translations in Google Translate, article suggestions in the Google mobile app and even Google search results are all enhanced with AI.
Besides this AI Grant has been created by Nat Friedman and Daniel Gross which aims to bankroll science projects for the heck of it to give untraditional candidates a shot at solving big problems. The AI Grant issues no strings attached grants to people passionate about interesting AI problems. The data collected from the grant program could allow the two to play a bit of machine learning moneyball-valuing machine learning engineers without traditional metrics (like having a PhD from Stanford).
Not only this, Toyota (the largest Fortune 500 company) launches Venture Capital Fund targeting AI startups. The initial early stage fund will deploy $100 million and operate as a subsidiary of the Toyota Research Institute. This institute also brings expertise to assist the AI fund with diligence and to help startups make improvements to core technology.
HDFC Bank launched AI driven chatbot EVA (Electronic Virtual Assistant) for customer services. It is India’s first of its kind and can answer millions of customer queries across multiple channels instantly, EVA can assimilate knowledge from thousands of sources and provide answers in simple language in less than 0.4 secs. With EVA, bank’s customers can get information on its products and services instantaneously and it also becomes smarter as it learns through its customer interactions. In the coming days, EVA would be able to handle real banking transactions as well which would enable the bank to offer the true power of conversational banking to its customers.
Nielsen, a global performance management company that provides a comprehensive understanding of what consumers Watch and Buy, announced the introduction of Nielsen Artificial Intelligence (Nielsen AI), an adaptive learning technology built into the Nielsen Marketing Cloud that automates audience optimization using patent-pending AI methods. This new capability enables Nielsen Marketing Cloud clients to respond instantly to real-time changes in consumer behavior, resulting in more relevant content and advertising, higher levels of customer engagement and improved ROI.
Nielsen AI automatically optimizes audiences based on real-time streams of device-linked data around their motivations, interests and actions across multiple buying and engagement channels. These streams come from a client’s customer data, such as e-commerce purchases, visits to a product page on a website or app, or audience data derived from Nielsen. Marketers can automatically adapt their messages to reflect changes in consumer media and buying behavior, movement through the path-to-purchase, audience composition across thousands of consumer attributes (including demographics, geography, behavior and personality), and market dynamics (including seasonal and local market demand, competitive actions and advertising).
Nielsen AI syndicates audience data updates in real time across a wide spectrum of marketing execution platforms such as search, social media, email, video, mobile, programmatic, over-the-top (OTT) TV and owned-and-operated websites and apps. This enables marketers to reach the right audience with relevant and timely advertising and content across all digital channels.
Nielsen AI is currently being implemented with clients that span verticals including food and beverage, retail, personal care, financial services, wine and spirits, digital media and out-of-home. Additionally, Nielsen Marketing Cloud’s Data-as-a-Service (DaaS) unit leverages Nielsen AI to increase the accuracy of its 60,000 audience segments.
Genpact, a global professional services firm focused on delivering digital transformation, unveiled Genpact-Cora – an artificial intelligence (AI)-based platform that accelerates digital transformation for enterprises. Genpact Cora is a modular, interconnected mesh of flexible digital technologies that hones in on specific operational business challenges and tackles them from beginning to end, helping large global companies reframe and solve their most pressing real-world business issues.
In an environment being disrupted by new technologies and increasing competition, clients want to buy business outcomes, not just tools and products and the Genpact Cora is timely for an industry seeking digital transformation.
Genpact Cora drives digital transformation in a planned and managed fashion, without sacrificing the governance security and investment protection that mature and established businesses need. It has a mature application program interface (API) design and open architecture that includes Genpact’s own intellectual property as well as leveraging best-in-class providers, integrating advanced technologies across three key areas:
- Digital Core: cloud, software-as-a-service, blockchain, mobility and ambient computing, robotic process automation, and dynamic workflow;
- Data Analytics:advanced visualization, data engineering, big data, and Internet of Things (IoT);
- Artificial Intelligence:conversational AI, computational linguistics, computer vision, machine learning and data science AI.
In addition to all this, Elon Musk launched Neuralink, a venture to merge the human brain with AI. SpaceX and Tesla CEO Elon Musk is backing a brain-computer interface venture called Neuralink. The company is still in its earliest stages of existence and has no public presence whatsoever, is centered on creating devices that can be implanted in the human brain, with the eventual purpose of helping human beings merge with software and keep pace with advancements in AI.
These types of brain-computer interfaces exist today only in science fiction. In the medical realm, electrode arrays and other implants have been used to help ameliorate the effects of Parkinson’s, epilepsy, and other neurodegenerative diseases. However, very few people on the planet have complex implants placed inside their skulls, while the number of patients with very basic stimulating devices number only in the tens of thousands. This is partly because it is incredibly dangerous and invasive to operate on the human brain, and only those who have exhausted every other medical option choose to undergo such surgery as a last resort.
This has not stopped a surge in Silicon Valley interest from tech industry futurists who are interested in accelerating the advancement of these types of far-off ideas. Kernel, a startup created by Braintree co-founder Bryan Johnson, is also trying to enhance human cognition. With more than $100 million of Johnson’s own money — the entrepreneur sold Braintree to PayPal for around $800 million in 2013 — Kernel and its growing team of neuroscientists and software engineers are working towards reversing the effects of neurodegenerative diseases and, eventually, making our brains faster and smarter and more wired.
With these and much more, the world is going to be dramatically impacted by Artificial Intelligence in the years to come.