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8 Common Myths About Machine Learning


Artificial Intelligence and the idea of it has always been around be it research or sci-fi movies. The focus moved from vast AI to components of AI such as machine learning, natural language processing, and other technologies that make it possible. Learning models which form the core of AI started being used extensively. This shift of focus to Machine Learning gave rise to various libraries and tools which make ML models easily accessible. In a recent survey by TechTalks, it was discovered that more than 30% of the companies wrongly claim to use Advance Machine Learning models to improve their operations and automate the process.

What Is Artificial Intelligence Engineering? Prospects, Opportunities, and Career Outlooks - ITChronicles


Research conducted by Gartner suggests that artificial intelligence or AI will create a business value of US $3.9 trillion by 2022. What's more, artificial intelligence is expected to be the most disruptive technology category for the next decade, due to advances in computing power, capacity, speed, and data diversity, along with the further evolution of deep neural networks (DNN). This growth is fueling a demand for talent in a number of related disciplines, including that of artificial intelligence engineering. But what is artificial intelligence engineering? Before answering that question, it's worth stepping back a little, to look at the evolution of artificial intelligence itself, and how it is enabling new ways of doing things that new require new skill sets to implement.

Artificial Intelligence, Real World Results


Editor's note: This feature originally appeared in the March issue of DS News, out now. There are countless ways artificial intelligence (AI) and machine learning (ML) have the potential to transform default servicing--but here are just a few. But how can you make these benefits a reality, and what should you be thinking about in order to maximize the value of AI and ML to your business? Find a technology partner who can help you to normalize the data (ensuring that the data is available in a consistent and standardized format) and to implement data models that can feed into the AI/ML tools. Advanced property servicing platforms are extending their Application Program Interface(API)/Integration capabilities to map out all the key data points across the life of the asset to create a property's digital twin.

Artificial Intelligence & Machine Learning: A Primer


Artificial Intelligence is changing the way organizations innovate and do business as new types of products and services are created at astonishing rates. Machines that sense their environment, observe behavior, detect patterns and apply reasoning and can quickly find solutions on a large scale and address critical problems. However, this is not about what these technologies can do, but what they enable people to do and the new opportunities they unlock.

Unraveling Artificial Intelligence for the Non-Geeks -- The Non-Technical Insight


Artificial Intelligence has been spreading its wings since 1950s but has been increasingly hogging limelight in recent times. Leaders of the world's most influential technology firms including Amazon, Facebook, Microsoft, Google are emphasizing their enthusiasm for Artificial Intelligence (AI) and its applicability. AI has become more popular today thanks to increased data volumes, advanced algorithms, and improvements in computing power and storage. Artificial intelligence is poised to have a huge impact in automating business processes including streamlining efficiency and anticipating barriers to growth. There is growing interest in AI, ML and DL, and the field is getting immense popularity amongst classes and masses.