If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The state of artificial intelligence is promising, and it is increasingly ready for real-life enterprises. But there are shortages of talent, lack of diversity in the field, and concerns about the handling the data that fuels ever-more-sophisticated algorithms. These are some of the observations of Nathan Benaich and Ian Hogarth, prominent investors in artificial intelligence, who released their fourth annual and densely packed "State of AI" report reviewing developments in the field over the past year. While the report focuses on AI academia and specific advancements in medicine and other areas, there are important developments raised for those seeking to leverage AI and machine learning to move forward in building intelligent enterprises. "The under-resourced AI-alignment efforts from key organizations who are advancing the overall field of AI, as well as concerns about datasets used to train AI models and bias in model evaluation benchmarks, raises important questions about how best to chart the progress of AI systems with rapidly advancing capabilities," Benaich and Hogarth state.
Artificial intelligence is at the top of many lists of the most important skills in today's job market. In the last decade or so we have seen a dramatic transition from the "AI winter" (where AI has not lived up to its hype) to an "AI spring" (where machines can now outperform humans in a wide range of tasks). Having spent the last 25 years as an AI researcher and practitioner, I'm often asked about the implications of this technology on the workforce. I'm quite often disheartened by the amount of disinformation there is on the internet on this topic, so I've decided to share some of my own thoughts. The difference between what I am about to write, and what you may have read before elsewhere is due to an inherent bias.
Artificial intelligence is at the top of many lists of the most important skills in today's job market. In the last decade or so we have seen a dramatic transition from the "AI winter" (where AI has not lived up to its hype) to an "AI spring" (where machines can now outperform humans in a wide range of tasks). Having spent the last 25 years as an AI researcher and practitioner, I'm often asked about the implications of this technology on the workforce. I'm quite often disheartened by the amount of disinformation there is on the internet on this topic, so I've decided to share some of my own thoughts. The difference between what I am about to write, and what you may have read before elsewhere is due to an inherent bias. Rather than being a pure "AI" practitioner, my PhD and background is in Cognitive Science - the scientific study of how the mind works, spanning such areas as psychology, neuroscience, philosophy, and artificial intelligence. My area of research has been to look explicitly at how the human mind works, and to reverse engineer these processes in the development of artificial intelligence platforms.
What if you knew what each person in your organization really knew? What if you could know what they were capable of, that might surprise you? What if they knew what they were capable of? What if your organization was filled with superheroes and heroines who hadn't revealed their secret identities just yet? What if you could team each of those "superheroes in waiting" with the best mentor, coach, guide, and leader in the world to help them find and take action on their capabilities; level-up, when the chips are down.
Stephen Chen is Senior Vice President, Technology & Security, for NuCompass Mobility, a global relocation management company. Covid-19 and efforts to eradicate it will have a lasting impact on both employers and employees worldwide. As the U.S. and other countries recover, it's clear that the way we work has changed significantly and permanently. As they struggle with labor shortages, many companies are turning to automation because it's impossible to hire their way out of the situation. According to Forrester's Predictions, 2021: "Advances in AI, changes to work patterns, and a fierce global recession have made this drive for automation inevitable -- and irreversible."
In the run up to Dreamforce 2021 in September, Salesforce announced new capabilities for Einstein Automate as well as new AI-driven workflows and RPA capabilities for Service Cloud . Prior to Dreamforce 2021, I had a chance to talk with Clara Shih, CEO of Service Cloud at Salesforce, about how the cloud-based software company sees automation and AI transforming, and actually humanizing, customer service. The following is a transcript of our interview, edited for readability. So let's talk automation, AI, RPA and how that relates to the Service Cloud and how that's kind of changing how organizations approach their interactions with their customers. Because I know that automation is a large part of many organization's digital transformation processes.
According to the news site Axios, 61% of organizations are just starting to adopt AI for decision-making, while 19% are categorized as having barely begun. Surveyed business leaders are hesitant to adopt AI because many organizations--particularly non-tech companies--"don't completely trust it" and "can't tap the talent they need." However, businesses that decide not to adopt the technology risk falling behind.
Learn more about what comes next. Aware, a platform that analyzes employee behavior across messaging platforms like Slack, today announced that it raised $60 million in a series C round led by Goldman Sachs Growth Equity, with participation from Spring Mountain Capital, Blue Heron Capital, Allos Ventures, Ohio Innovation Fund, JobsOhio, and Rev1 Ventures. The company says that the capital, which brings its total raised to over $86.9 million, will be put toward product development, sales efforts, and hiring. "This specific investment will allow us to make significant progress towards helping organizations see the human difference across all functions of the business. We expect to rapidly expand our current integrations into new platforms, as well as to ingest and analyze digital signals from all areas of the organization," cofounder and CEO Jeff Schumann told VentureBeat via email.
Thousands of working adults will soon benefit from free courses that will help them to rapidly upskill or retrain, as part of the government's drive to plug skills gaps and boost access to more high-quality training alternatives. Sixty-five short and modular courses will start to roll out from later this month at 10 Institutes of Technology (IoTs) across England in sought-after STEM subjects. This will include courses such as Artificial Intelligence, Digitisation of Manufacturing, Digital Construction, Agricultural Robotics, and Cyber Security. The courses will be a blend of classroom and remote online study, and will vary in length from 50 to 138 hours – giving more adults greater flexibility in how and when they learn, so they can fit it around their lives. Swindon and Wiltshire IoT, for instance, will offer five short 50 hour courses across eight weeks.
In our mission towards powering careers through tech education, we are doubling down on the support that we offer to our students. As a part of this, we want to extend an opportunity to you to become a Mentor in our scholarship programs. Career mentors are industry professionals who provide world-class career support to our students in their Nanodegree journey or beyond. All our mentors are handpicked through a rigorous selection process so that we can truly be #studentfirst. There are only a few positions, so please don't wait too long to apply!