AI and advanced analytics can have a transformational impact on every aspect of a business, from the contact centre or supply chain to the overall business strategy. With the new challenges caused by coronavirus, companies are in a growing need of more advice, more data and visibility to minimise the business impact of the virus. However, long before the disruption caused by Covid-19, data was recognised as an essential asset in delivering improved customer service. And yet, businesses of all sizes have continued to struggle with gaining more tangible value from their vast hoards of data to improve the employee and customer experience. Data silos, creaking legacy systems and fast-paced, agile competitors have made the need to harness an organisations data to drive value of paramount importance.
Many job descriptions across organizations will require at least some use of AI in the coming years, creating opportunities for the savvy to learn about AI and advance their careers regardless of discipline. New job titles have and will emerge to help the organization execute on AI strategy. Machine learning engineers have cemented a leading role on the AI team, for example, taking first place on best jobs listed on Indeed last year, according to a recent rapport in CIO. And AI specialists were the top job in LinkedIn's 2020 Emerging Jobs report, with 74% annual growth in the last four years. This was followed by robot engineer and data scientist.
Bots are now a key starting point for conversations with customers, so it's vital that companies think through how they use them. Artificial intelligence is a technology that has already transformed how consumers interact with their home devices, with brands, even with their cars. It has shown benefits both for companies and customers, but what's next for virtual agents and their kin? In this webinar, P.V. Kannan, coauthor of "The Future of Customer Service Is AI-Human Collaboration," discusses how virtual agents are proving themselves as a technology and the ways AI-driven customer service will empower contact center agents to provide great customer experiences. Get periodic email updates on upcoming webinars, panel discussions, and other special events.
Can artificial intelligence understand human humor? According to Fei-Fei Li, professor in the Computer Science Department at Stanford University and co-director of Stanford's Human-Centered AI Institute, the answer is: not yet."Today's What kind of sentiment does it carry? Humor requires a deep and nuanced reasoning which is not a strength of current AI."A former Google VP and one of the world's expert in the field computer vision, in the talk Li highlighted how many Israeli researchers have impacted her over the course of her career."I It will need to happen in the future," she said.In the lecture, the professor focused on different projects to shape the future of artificial intelligence guaranteeing a more ethical approach, a goal that Zebra, a healthcare company proving AI-based medical image diagnosis, also shares.Together with tremendous opportunities, Li acknowledged how the new technologies developed risk to enhance problems such as a wider gap between generations in interacting with machines, but also job displacement, bias and privacy infringements."For this reason, we believe in a different approach to AI, a human-centered approach," she pointed out, explaining that the goal is to carry out research with a concern for its human impact, with the idea of augmenting people's capabilities rather than replacing them, as well as by drawing inspiration from human intelligence.
A lot has been written, said and discussed in the domain of Artificial Intelligence. From the Turing test conducted by Alan Turing in 1950 which offered an opportunity to understand whether machines can exhibit intelligent behavior to AutoML (Auto machine learning) by google which claims to reduce the dependency on humans to build AI models, the technology has come a long way. However, the question that still intrigues many is whether this new wave of digital intelligence is intelligent enough to create value. This is one of the biggest challenges C-level executives in the manufacturing industry face when they propagate the idea of investing in this technology. Preparing a business case and binding the investment to the RoI, in an asset-heavy industry, becomes a daunting task and many at times hinder the buy-in or progress of such programs across the manufacturing enterprise.
If you are currently in the market for almost any kind of enterprise software, you will almost certainly run across at least one vendor claiming that its product includes artificial intelligence (AI) capabilities. Of course, some of these claims are no more than marketing hyperbole, or "AI washing." However, in many cases, software makers truly are integrating new capabilities related to analytics, vision, natural language, or other areas that deserve the AI label. The market researchers at IDC have gone so far as to call AI "inescapable." Similarly, Omdia Tractica predicted that worldwide revenue from AI software will climb from $10.1 billion in 2018 to $126.0 billion in 2025, led in large part by advancements in deep learning technology.
It is not surprising that Automation will change the industry landscape while impacting the employment percentage of the common man. Robots have been replacing humans over the past decades in several countries. While some experts believe that it will lead to a future without work, others are unconvinced of this forecast. A study co-authored by Daron Acemoglu, an MIT economist and Pascual Restrepo, an assistant professor of economics at Boston University, states the statistics on this trend and how the impact of robots differs by industry and region and may play a notable role in exacerbating income inequality in the USA. According to the study, from the period of 1990 to 2007, the addition of one robot per 1000 workers reduced the national employment-to-population ratio by an average of 0.2 percent.
As a long-time proponent of AI regulation that is designed to protect public health and safety while also promoting innovation, I believe Congress must not delay in enacting, on a bipartisan basis, Section 102(b) of The Artificial Intelligence Data Protection Act -- my proposed legislation and now a House of Representatives Discussion Draft Bill. Guardrails in the form of Section 102(b)'s ethical AI legislation are necessary to maintain the dignity of the individual. What does Section 102(b) of The AI Data Protection Act provide and why the urgent need for the federal government to enact it now? To answer these questions, it is first necessary to understand how artificial intelligence (AI) is being used during this historic moment when our democratic society is confronting two simultaneous existential threats. Only then can the risks that AI poses to our individual dignity be recognized, and Section 102(b) be understood as one of the most important remedies to protect the liberties that Americans hold dear and that serve as the bedrock of our society.