Only a few years ago, human beings were needed to understand text and recognise images. It is now becoming increasingly possible to automate these functions using cognitive technologies, such as machine learning. In fact, one of the first practical deployments of machine learning, the automated processing of handwritten cheques, began in banking in the early 1990s. We have come a long way since then. The past few years have seen significant disruption in the area of automated decision-making, mostly led by young, innovative tech companies.

Booz Allen and NVIDIA are offering deep learning training. NVIDIA is working with Booz Allen Hamilton to rapidly build solutions that are needed in cyberdefense for both government and commercial customers. Now, certified Deep Learning Institute instructors from NVIDIA and Booz Allen are offering training to a variety of customers on how to build your own effective deep learning and data-driven solutions. 'Deep Learning Demystified,' hosted by Booz Allen and NVIDIA, will provide instructor-led and hands-on deep learning training. Introduce yourself to key terminology, use cases from various industries, and learn how to effectively train, optimize, and deploy a neural network.

In a world where robots may take over, where some firms are failing and online marketing is getting even harder, how does a professional services business sustain itself?

Advanced computing enables us to make connections like never before. We can teach machines to detect cancer, identify cybersecurity threats before they happen, and optimize business operations – the possibilities are endless. So how can machines continue to learn, without the dedication of abundant resources? Deep learning, a sub-mechanism of machine intelligence (MI), is a computing process that enables machines to find patterns in data. Deep learning sifts through data and makes connections, identifying odd trends that would be unfindable by the human senses.

Robotics seems to be the hot new topic at the moment, everywhere i turn i keep hearing about robotics, machine learning and RPA – Robotic Process Automation. So i was on the look out for something simple and straightforward to introduce me to the topic, and i came across the following 2 PwC infographics on robotics. Before you start thinking of the Terminator Doomsday scenario, consider getting to grips with a little robotics history and the reasons why folks are talking robotics.

Summary: Before starting to develop an AI strategy, make sure your team understands the limits of what is reasonable today, as well as incremental improvements that might be overlooked. Focus should be on your LOB leaders who understand the business. Make sure they are also able to recognize AI opportunities. I recently saw this chart from PricewaterhouseCoopers as part of their '2018 AI Predictions Report'. The statement was: 'we effectively utilize all the data we capture to drive business value' (strongly agree - 2200 C-level and IT respondents in large and mid-size companies internationally).

As enterprises bring machine learning into their organizations, many pundits predict that it will lead to massive layoffs. Yet in a recent study we developed with the Economist Intelligence Unit, "Making the Most of Machine Learning: 5 Lessons from Fast Learners," we found evidence that highly skilled human employees will be vital during the transformation and beyond. However, the integration of machine learning will demand completely new ways to define roles and responsibilities, new skills to either build or co-exist with advanced algorithmic labor and perhaps most importantly, a culture built to continuously evolve and learn along with its AI capabilities. Indeed, 75% of organizations surveyed that are already seeing benefits from machine learning, which we call the "fast learners," say that they expect to retrain employees as they increase their use of intelligent automation. The emerging machine learning enterprise will be staffed by people dedicated to, as Erik Brynjolfsson and Andrew McAfee of the MIT Center for Digital Business have said, "racing with machines as opposed to racing against them" from the very top of the organization and throughout it.

Artificial Intelligence (AI) is making headlines worldwide. It is heralded both as an economic salvation and as a precursor to social disintegration. But there is a lack of clear assessments of the real value that artificial intelligence can create, as well as the challenges that must be addressed to ensure society benefits from this inevitable disruptive impact, rather than suffers from it. That's what we're trying to achieve for South America. The region urgently needs a sustainable solution to its low levels of productivity and economic growth.

Those of us in the professional services industry have a choice: Disrupt or be disrupted. New technologies are already changing the way operations are run and have the huge potential to drastically change the way the industry functions in the future. Companies must be prepared to embrace this or be left behind. Artificial intelligence (AI) and machine learning are just two of the technologies that are currently having a significant impact on today's enterprise. And the appetite is growing.

Five key trends will likely cause a significant uptick in enterprise use of machine learning this year, according to Deloitte Global. Large and medium-sized enterprises will step up their use of machine learning in 2018, Deloitte Global predicts, doubling the number of implementations and pilot projects that were underway in 2017. By 2020, that number will likely have doubled again. And as enabling technologies such as machine learning APIs and specialized hardware become available in the cloud, these advances will likely be increasingly within reach for small companies as well. Machine learning is an artificial intelligence (AI), or cognitive, technology that uses data to enable systems to learn and improve from experience without being programmed explicitly.