Recognizing the pervasive talent gap that exists between data scientists and data workers in the line of business, Assisted Modeling helps teach data science with a guided walk-through and aims to help all data workers, regardless of technical acumen, advance their skill sets in the process of building machine learning models. "As we continue to deliver innovations for a smarter platform, it is critical to address the human at the center of analytic intelligence. Our approach in building Assisted Modeling is to advance the skills of the data worker, creating next-level citizen data scientists capable of building the machine learning models required to tackle the advanced analytic challenges of the future," said Kramer. "Assisted Modeling provides users the transparency and control needed to build trustworthy machine learning models that drive business outcomes without writing a line of code. I am thrilled to deliver the newest version of our platform today and to invite our customers and partners to be the first to experience Assisted Modeling." As an output of the application, users can access code-free machine learning tools directly within the Alteryx Designer interface. Assisted Modeling allows any data worker to construct machine learning models, understand how and why their models work, and capture modeling decisions, turning raw data into informed business decisions with unprecedented speed and confidence. Alteryx also announced the general availability of the newest version of the Alteryx Platform (2019.2),

It's undeniable that Machine Learning has taken the digital world by storm. But along with its many promises, there has been much hype, making it hard to tell whether particular "AI-powered" labels actually represent true breakthroughs that will have a real impact on our day-to-day life. We certainly believe that Sweetspot's Predictions, Automated Insights, and Smart API Calls, our ML-powered features, have earned this label in their own right. While Predictions have been quietly serving our customers and partners from the very outset (2012!), the last two are only now beginning to unleash their true power. I nevertheless believe they all deserve a proper shout-out.

In the connected world of today, the role of a user has changed from a passive spectator to an active participant. With millennials spending close to 9.6 hours per day and Gen X spending 7.9 hours per day, on average, consuming digital content, attention has become a precious commodity in this digital age. This is happening because we are surrounded with personalized interactions, personalized campaigns, personalized news feeds and personalized deliveries due to AI-powered data driven tools. Artificial Intelligence (AI) has altered the basic idea of how consumers perceive a product and the way marketers perceive the purchase journey of customers. AI-driven personalization technology is able to accurately determine the consumer journey and can anticipate the next step along that journey.

We know that the money launderers are winning. We know that law enforcement is losing. By now, you've probably heard the UN's statistics on this, that we catch less than 1% of these crimes, which add up to an estimated $1.6 trillion a year. At the heart of this problem is asymmetrical technology. The bad guys have sophisticated, networked, rapidly improving technologies, and the good guys are stuck in the past.

According to media reports, China and the US are leading the way in adopting AI, with the former's percentage of AI patents granted growing by 190 per cent in a five-year period and the latter investing close to $10 billion in venture capital. Not to be left behind by the other two superpowers though, Russia's president has announced his intentions to make 30 per cent of its military equipment robotic by 2025. The compound annual growth rate of AI has hit 60 per cent and is still growing. The UK is itself funding over £603 million investment in AI and one industry here that stands to benefit from AI is field and customer service. Field service organisations increasingly feel the pressure to maximise the productivity and efficiency of their workforce so they get every job right on the first try, keeping customers happy and reducing costs through increased productivity and SLA compliance.

How to ensure human autonomy over our computational "screens, scenes, and unseens." Digital assistants such as Alexa and Siri and Google Assistant can be quite helpful -- but their actual allegiance is to Amazon and Apple and Google, not to the ordinary people who use them. By introducing AI-based digital agents that truly represent and advocate for us as individuals, rather than corporate or government institutions, we can make the Web a more trustworthy and accountable place. In the 2004 film "I Robot," Will Smith's character, the enigmatic Detective Del Spooner, harbors an animosity toward the humanoid-like robots operating in his society. Over the course of the film we learn why.

How will emerging autonomous and intelligent systems affect the international landscape of power and coercion two decades from now? Will the world see a new set of artificial intelligence (AI) hegemons just as it saw a handful of nuclear powers for most of the twentieth century? Will autonomous weapon systems make conflict more likely or will states find ways to control proliferation and build deterrence, as they have done (fitfully) with nuclear weapons? And importantly, will multilateral forums find ways to engage the technology holders, states as well as industry, in norm setting and other forms of controlling the competition? The answers to these questions lie not only in the scope and spread of military applications of AI technologies but also in how pervasive their civilian applications will be.

Deep down inside, you know your worth! You recognize that there's only one of you on this big blue marble, and there's no one exactly like you. Oh, maybe you get a little down sometimes, worried about the world around us; but that DNA is yours alone; and it's special. You can, and will, succeed in the brave new world of machine learning and artificial intelligence. You'll solve challenges that are interesting for you, and valuable for those around you.

Yoshua Bengio is a Professor at the University of Montreal, and the Scientific Director of both Mila (Quebec's Artificial Intelligence Institute) and IVADO (the Institute for Data Valorization). He is Co-director (with Yann LeCun) of CIFAR's Learning in Machines and Brains program. Bengio received a Bachelor's degree in electrical engineering, a Master's degree in computer science and a Doctoral degree in computer science from McGill University. Bengio's honors include being named an Officer of the Order of Canada, Fellow of the Royal Society of Canada and the Marie-Victorin Prize. His work in founding and serving as Scientific Director of the Quebec Artificial Intelligence Institute (Mila) is also recognized as a major contribution to the field.

If you are not a representative of the company being nominated please skip this section. Those nominations that are shortlisted by our Judging panel will have an opportunity to Showcase their AI product at one of our Showcase events. We will be having a three Showcases, one will be in the UK at an AI Conference, another two virtual events will be scheduled for USA and APAC timezones. These Showcases will be attended by our Judges and will help us make final decisions on the winners for each Award category. We will also be Awarding Special Best in Show awards for one of the companies at each Showcase.