In this blog, I'll discuss how I worked collaboratively with various domain experts, using reinforcement learning to develop innovative solutions in rocket engine development. In doing so, I'll demonstrate the application of ML techniques to the manufacturing industry and the role of the Machine Learning Product Manager. Machine learning (ML) has had an incredible impact across industries with numerous applications such as personalized TV recommendations and dynamic price models in your rideshare app. Because it is such a core component to the success of companies in the tech industry, advances in ML research and applications are developing at an astonishing rate. For industries outside of tech, ML can be utilized to personalize a user's experience, automate laborious tasks and optimize subjective decision making.
Earlier this week, Gil Press of Forbes published a piece that explored the AI-related predictions from 120 professionals from various industries. I've taken the liberty of exploring the ten opinions that I feel are most relevant, interesting, and valuable to TDS and Medium readers. I've linked to Gil's piece above, so feel free to read all the other great foretellings from the soothsayers of today's AI world. But first, let's take a look at the future of AI from the eyes of some of the world's CEO's, VP's, Marketers, and Engineers. "With AI actually baked into the chips themselves, a whole new era of computing at the source is being empowered -- and we are only at the beginning. AI chips are already improving vehicles' abilities to process visual data more efficiently, paving the way for autonomous vehicles of the future. For smart cities, AI chips will assist with crucial tasks such as real-time traffic monitoring, locating missing persons, and finding stolen vehicles. For smart homes, chips will ensure more privacy and reliability by processing data at the source. Demand for these new technologies will set the stage for a variety of new applications and use cases, fueling the activity of next-generation products and refinement of product needs. A new age of AI chips means a new age of technology".
Artificial Intelligence (AI) is currently the hottest buzzword in tech. Here is a video on the role of Artificial Intelligence and its scope in the future. We have put together the best clips on Artificial Intelligence by the most well-known leaders and influencers such as Bill Gates, Tim Cook, Warren Buffett, Barack Obama, Elon Musk, Sundar Pichai and Jeff Bezos. The last few years have seen a number of techniques that have previously been in the realm of science fiction slowly transform into reality. We have brought to you the business leaders of today speaking about artificial intelligence, what is fascinating about AI, the latest AI projects and what's in store for the future of AI.
"Artificial Intelligence and Machine Learning have reached a critical tipping point and will increasingly augment and extend virtually every technology enabled service, thing, or application." An article on the future of AI and machine learning mentions that while cloud technology offers "agility to business processes," artificial intelligence (AI) and machine learning (ML) technologies can jointly transform business outcomes. So what are some of the current artificial intelligence and machine learning trends coming soon? Let's begin with some interesting forecasts for the year 2020 and beyond: The Future of Machine Learning and Artificial Intelligence mentions that while cloud technology offers "agility to business processes," AI and ML technologies can jointly transform business outcomes. The Analytics Insights article, Top 10 Data and Analytics Trends to Watch Out in 2020, suggests how interrelated technology trends will impact the business landscape of 2020.
AI, Machine Learning, IoT and Cloud-Based Services Must Deliver Value From Their Data. With growing attention devoted to AI, machine learning, and IoT, what we've come to know as big data has become an even broader version of itself. In recent years, big data was seen as an unstoppable force of nature that would either overwhelm enterprises or propel them to new heights. This next generation of big data -- we'll call it expansive data, pulsing through systems in real-time, powering processes unseen to human eyes, and adapting and learning as it goes along -- is going to reshape enterprises in ways not even anticipated. This requires attention to new types of tools, platforms, and approaches to deliver value to today's data-hungry businesses.
Such is the ideal scenario for every manager everywhere, right? Just assign that task to a trusted colleague and watch as the magic happens. Well, maybe that's a reality best expressed in a famous sci-fi TV series, but ... Science fiction often predicts the future quite accurately; and the 1990s future is, well, today! In other words, the vision espoused by Star Trek: Next Generation, in many ways can now be qualified as realistic, at least with respect to the dynamic use of data. Let's face it: Data drives the Information Economy, especially when modern technologies such as artificial intelligence and machine learning are trained on it.
In a recent speech, Forrester vice president and principal consultant Huard Smith said that the human aspect of many professions would be "all gone" by 2030 due to advances in AI and ML technology. In this piece, I'll look at seven of the industries or positions that are currently most likely to decline over the next decade. Believe me; number seven will surprise you. The chances of this particular role becoming fully computerized are as high as 99.9%. This is mainly because telemarketing conversion rates are relatively low.
The co-founder of Deepmind, Google's flagship artificial intelligence company, has left his post to take up another position within the multinational technology company. Mustafa Suleyman announced on Twitter he would be joining Google's team looking at the opportunities and impacts of applied artificial intelligence. Suleyman was placed on leave from DeepMind in August. At the time the company did not say why he was placed on leave but claimed the decision was mutual, adding that he was expected to be back by the end of the year. In a tweet on 5 December, Suleyman said: "After a wonderful decade at DeepMind, I'm very excited to announce that I'll be joining the fantastic team at Google to work on opportunities and impacts of applied AI technologies. "Can't wait to get going!