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Responsibilities: • Invent and build solutions to real-world customer problems through close collaborations with design, research and engineering teams • Ability to quickly change and iterate based on the team's needs • Multi-task and change from one task to another without loss of efficiency or composure Skills: • Bachelor's in Computer Science, Electrical Engineering, Statistics or related field • Ability to run experiments and analyze results scientifically • Must have working experience and be expert in building AI Models • Solid understanding in algorithms and data structure • A breadth of technical skills and know how to use the right tool for the job • Have a passion for solving very difficult technology challenges and learning new technologies and domains • Ability to work independently and multi-task effectively • Ability to understand business requirements and translate them into technical requirements • Flexible and willing to accept a change in priorities as necessary • Strong attention to detail • Experience working in a collaborative environment with designers and researchers Desired Skills & Experience: • Experience in data analysis is a plus • Good understanding of ML application design principles • Experienced in exploring a new field

There's been a lot of hype around AI technologies over the last several years. As 2020 approaches, we can expect to see many of these technologies making their way out of the lab and into full production. This may come in the form of improved software systems to intelligent assistants deployed across enterprises to help humans contact IT and HR. From customer service to fraud prevention, AI will have an impact on how humans complete their everyday responsibilities, enabled by smarter and accelerated insights. With voice assistants readily available in homes and cars, humans are becoming increasingly comfortable talking to machines.

Easing the pressure points: The state of intelligent automation, a new report by KPMG International and HFS Research, found most organizations are investing in the full spectrum of intelligent automation technologies, typically prioritizing RPA, but also more frequently exploring machine learning and artificial intelligence opportunities. The study found that two-thirds of respondents are adopting many elements of IA. The technology being experimented with or piloted the most is the field of artificial intelligence, earmarked by 36 percent of respondents. Respondents said that machine learning and smart analytics were the AI technologies being implemented the most, with each receiving 31 percent of responses. Smart analytics was flagged at the top as most scaled while robotics process automation was at the bottom rung, a surprisingly low result given its role as a gateway technology.

Our IA A finance solution provides a platform that aims to solve a combination of common challenges arising from managing multiple vendors to complex finance systems with excessive data movements, reconciliations, multiple chart of accounts, lack of policies, procedures leading to highly inconsistent processes and higher operational costs. The finance solution weaves together the new age techniques: Robotics Process Automation (RPA), intelligent cognitive techniques, conversational bots and deep learning that help back offices automate accounting, payment reconciliation, HR including payroll, on-boarding, operations, reporting & compliance and freeing staff to work on value added job.

Booz Allen Hamilton, a technology and management consulting and engineering firm, has teamed with an impressive list of AI software companies such as NVIDIA, HyperGiant, and Orbital Insight to announce the release of Modzy, designed to help organizations and agencies rapidly deploy, manage and secure AI models. Modzy provides functionality for organizations to rapidly scale their ML models across the enterprise by offering a combination of a growing'marketplace' of software defined models, combined with an AI platform accessible through an API that provides model management, operationalization support, governance, and adversarial defense security.

Accenture has a rich history of helping customers all over the world build artificial intelligence (AI) and machine learning (ML) powered solutions with AWS services. In doing so, they always look for new and engaging ways to develop their teams with the appropriate level of enablement and hands-on training. Accenture's next ML initiative is rolling out their version of an AWS DeepRacer League, which is the world's first global autonomous racing league launched by AWS at re:Invent in 2018. Accenture's league spans 30 global locations and 17 countries, with each location featuring both a physical and virtual track to compete on for the title of Accenture AWS DeepRacer Champion. Machine learning is one of the fastest growing areas in the market.

Artificial intelligence is expected to contribute a potential US$15.7 trillion to the global economy by 2030, so it's not surprising that more companies are considering buying an AI firm to bolster their tech capabilities. The number of AI deals rose from only 10 in 2012 to 166 in 2018, according to CB Insights, and there were more than 140 AI acquisitions in just the first eight months of 2019.1 If your company is thinking about jumping on the AI bandwagon, you should know that this deal won't be like others you've made in the past. So you need to prepare. For one thing, the maturity of these companies varies markedly. Six out of 10 of the approximately 1,600 European AI startups in MMC Ventures' 2019 State of AI study are only at the earliest stages of AI implementation, while only one out of six has reached the growth stage.2

MCLEAN, Va. - Today, Booz Allen introduces ModzyTM, a first-of-its-kind enterprise artificial intelligence (AI) software product with a mission of its own: putting AI to work through the power of trusted models and a secure, scalable platform. The Modzy platform and model marketplace create the missing AI layer in today's tech stack, accelerating the deployment of AI from the lab to the enterprise. With click-to-deploy access for a growing list of AI models from leading tech companies and open source communities, and an environment to upload, manage and reuse AI models, Modzy greatly reduces risk and barriers to adopting and scaling AI. Interested customers can request an invitation to the Modzy Early Access Program, beginning today. "Achieving the promise of AI requires much more than training the next algorithm. It's about giving organizations choice and having a predictable and repeatable way to rapidly deploy, manage and secure AI models at enterprise scale," said Dr. Josh Sullivan, senior vice president, Booz Allen Hamilton and Modzy executive leader.

MCLEAN, Va.--(BUSINESS WIRE)--Today, Booz Allen introduces ModzyTM, a first-of-its-kind enterprise artificial intelligence (AI) software product with a mission of its own: putting AI to work through the power of trusted models and a secure, scalable platform. The Modzy platform and model marketplace create the missing AI layer in today's tech stack, accelerating the deployment of AI from the lab to the enterprise. With click-to-deploy access for a growing list of AI models from leading tech companies and open source communities, and an environment to upload, manage and reuse AI models, Modzy greatly reduces risk and barriers to adopting and scaling AI. Interested customers can request an invitation to the Modzy Early Access Program, beginning today. "Achieving the promise of AI requires much more than training the next algorithm. It's about giving organizations choice and having a predictable and repeatable way to rapidly deploy, manage and secure AI models at enterprise scale," said Dr. Josh Sullivan, senior vice president, Booz Allen Hamilton and Modzy executive leader.