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From predicting election results to running driverless cars, artificial intelligence (AI) will transform all sectors of business, not least financial planning and wealth management. Sanlam Global Investment Solutions head of investments David Itzkovits said early adopters to AI stand to benefit the most, especially while it is still in its early stages. "When you think about what we categorise as an'industrial revolution', we don't recognise them to be a revolution at the time. We only do so in hindsight," he said, referring to how steam power changed the world in the mid-1700s, as did electricity in the late-1800s and electronics less than 50 years ago. "If you look at the first three industrial revolutions, they all had one thing in common: they do the same job, which was previously done by multiple humans, in a quicker, more efficient way," he said.

Abbott Analytics, provides data mining consulting, knowledge transfer, and training for direct marketing, fraud detection, bioinformatics, and scientific computing. Algoritmica, providing consultancy and customized predictive analytics solutions for a number of international companies. Altius, specializes in the design and building of business-critical information systems that enhance business intelligence (BI) and performance management. Analytica, a consulting and IT firm serving US public and private sector enterprises focused on national security, law enforcement, health care and financial services. Analytics Advisory Group, offers services to improve your business outcomes by providing advisory, consulting, and training services anchored in Analytics. Analytical People offers a range of services, and resources, to any organisations who are looking to deploy Data Mining, Predictive Analytics or Statistical Analysis tools or methods. Anderson Analytics, focuses on helping clients gain the "Information Advantage" via quantitative and qualitative solutions to challenging marketing problems. Anthem Marketing Solutions, marketing and media strategists armed with the analytical capabilities and product solutions you need to deliver on your goals. Apteco, consultation and advice on the use of Faststats data mining to improve business insight and marketing campaigns. ASID Analytics provides data science consulting services, Tulsa, OK, USA. Austin Provider Solution, healthcare and managed care business intelligence solutions, including DSS for Hedis. Bayesia, providing consulting and customized solutions for computer-aided decision making, specializing in Bayesian Networks. Bentley University Center for Quantitative Analysis, provides professional analytical consulting services in support of fundamental and applied business research. Beyond the Arc, Inc., a strategic consultancy specializing in Voice of the Customer; uses analytics and text mining to translate customer data into knowledge, making customer experience more meaningful.

Columnist Jennifer Jolly shows you the coolest tech for Mother's Day. From unicorn roses to selfie drones, here are unusual gadget gifts for mom. Hey! Mother's Day is right around the corner (May 14th). From Unicorn roses to selfie drones, here are all the gadget gifts no one else would ever think of -- except a mom who covers tech for a living. Moms like me love to capture every moment of our family's lives.

If you're a fantasy football fan, you'll know how much time it can take to pore over reams of statistics every week, only to have your carefully chosen team limp from their virtual field, a defeated rabble. To get an advantage over their opponents, fantasy sports players tap into many resources. But if players are all using the same resources -- stats, online guides, commentaries -- who's really getting ahead? With the USA's National Football League (NFL) kicking off in September, a startup called Edge Up Sports is jostling to offer fantasy footballers the upper hand by recruiting an unconventional expert coach to its team: the artificial intelligence system, IBM Watson. While Deakin University's partnership with Watson enhances students' experiences by providing essential information, Edge Up Sports is using the platform to mine player interviews, social media analysis and injury reports and then to quantify them as statistical success indicators for NFL players.

Last week we discussed how doctors perform medicine, and what parts of the process are worth automating. It turns out that deep learning is a very good match for some of the most time consuming (and therefore costly) parts of medicine: the perceptual tasks. We also saw that many decisions simply fall out of the perceptual process; once you have identified what you are seeing or hearing, there is no more "thinking" work to do. In fact, the answers these systems arrive at can be superhuman. "In situations where the only information required to make the decision is in the signal itself, machine learning wins by a small margin." It turns out that quite a large subset of medical tasks are like this, which we will explore in more detail today. To begin with we should recognise that automating a subset of medical tasks is not the same as automating all of medicine.

With the advent of Chatbots, personal assistants and robo-advisors, it may not be too hard to imagine that the next wave of technology could revolutionize the traditional style of banking. An Accenture report recently indicated that within the next three years, banks will deploy Artificial Intelligence (A.I.) as their primary method to interact with customers. In early 2016, Swedish-speaking Amelia became the first non-English deployment of IPsoft's AI platform at SEB, one of Sweden's largest bank. The bank adopted "digital employee" Amelia to integrate into its front-office. The cognitive agent solves problems just like humans "but in a fraction of the time", interacts just like humans and even senses emotions.

As manufacturing processes become increasingly automated, so should tool condition monitoring (TCM) as it is impractical to have human workers monitor the state of the tools continuously. Tool condition is crucial to ensure the good quality of products: Worn tools affect not only the surface quality but also the dimensional accuracy, which means higher reject rate of the products. Therefore, there is an urgent need to identify tool failures before it occurs on the fly. While various versions of intelligent tool condition monitoring have been proposed, most of them suffer from a cognitive nature of traditional machine learning algorithms. They focus on the how to learn process without paying attention to other two crucial issues: what to learn, and when to learn. The what to learn and the when to learn provide self regulating mechanisms to select the training samples and to determine time instants to train a model. A novel tool condition monitoring approach based on a psychologically plausible concept, namely the metacognitive scaffolding theory, is proposed and built upon a recently published algorithm, recurrent classifier (rClass). The learning process consists of three phases: what to learn, how to learn, when to learn and makes use of a generalized recurrent network structure as a cognitive component. Experimental studies with real-world manufacturing data streams were conducted where rClass demonstrated the highest accuracy while retaining the lowest complexity over its counterparts.

When the I-35W bridge over the Mississippi river in Minnesota collapsed in 2007, killing 13 people, it was because of defects in steel plates that safety inspectors had missed. A new robot helper could help avoid such tragedies by making bridge checks cheaper and more accurate. Surveying a bridge used to involve drilling into the road to check the concrete and steel structures underneath. Although radar has simplified the work since the 1980s, sending out teams of people to check bridges is still expensive and can require extended road closures. The upshot is that many bridges are overdue a health check – thousands in the US alone, for instance.

My name is Michelle and I will be your conference moderator for today. At this time, all participants are in a listen-only mode. We will conduct a question-and-answer session towards the end of this conference. We will expect the call to conclude in an hour. As a reminder, this call is being recorded for replay purposes. I would now like to turn the call over to Roger Sachs, Head of Investor Relations at Genpact. Good afternoon, everyone, and welcome to Genpact's first quarter earnings call to discuss our results for quarter ended March 31, 2017. We hope you have had a chance to review our earnings release which was posted to the IR section of our website, genpact.com. With me in New York today are Tiger Tyagarajan, our President and Chief Executive Officer; and Ed Fitzpatrick, our Chief Financial Officer. Our agenda today will be as follows: Tiger will provide a high level overview of our results, as well as update you on some of our strategic initiatives. Ed will then discuss our financial performance for the quarter in greater detail. Tiger will then come back for some closing comments and then we will take your questions. And as Michelle just said, we expect the call to last about an hour. Please note, the year-over-year growth rates discussed today include the impact of the reclassifications of the divested GE Capital businesses to Global Client revenue as if these transactions occurred on January 1, 2016. This was done to provide a consistent view of the underlying growth trends of our business. The actual results without these adjustments are included in our earnings release. Some of the matters we will discuss in today's call are forward-looking. These forward-looking statements involve a number of risks, uncertainties and other factors that could cause actual results to differ materially from those in such forward-looking statements. Such risks and uncertainties are set forth in our press release. In addition, during our call today we will refer to certain non-GAAP financial measures which we believe provide additional information to investors and better reflect the way management views the operating performance of the business. You can find a reconciliation of these measures to GAAP in our earnings release in the IR section of our website.