Tristan Rouillard is the VP of Machine Learning Solutions at CloudFactory. In this role, he leads the company's strategy and direction related to ML products and solutions offered to CloudFactory's clients globally. Tristan was one of the cofounders of Hasty, a data-centric vision AI platform focussed on making it easier to implement the ML flywheel in production. Hasty was recently acquired by CloudFactory in late 2022. Before founding Hasty, Tristan was the Head of the Venture Development team at WATTx, a manufacturing, industry 4.0 focussed incubator, where his team built the business models and go-to-market strategies for various early-stage ventures.

Dragonfruit AI, retail's first massively scalable video AI platform, is pleased to announce that Ray Cooke most recently SVP at Hanwha Techwin America – has joined the company as Vice President of Business Development. Dragonfruit's Frontier was custom-built for Retail Loss Prevention/Asset Protection (Video Summaries, ORC Investigations, OSHA Compliance, Slip/Fall, Liquid Spill), Store Operations (Checkout Metrics, Point-of-Sale Analysis with Video Verification) and Marketing/Merchandising (In-store Commerce Funnels). Designed from the ground-up for multi-location retailers, Frontier combines a powerful Base Station leveraging the Apple M1 architecture with advanced cloud intelligence. Starting at just $900/location/year, Frontier provides the flexibility for retailers to start solving their most pressing needs and add on more capabilities as required. In his new role, Cooke will help large-scale retailers use Frontier to derive insights from their video to address pivotal challenges – such as optimizing staffing, detecting unsafe conditions, accelerating investigations, managing store layouts and streamlining operations.

Founded in 1991, India-headquartered HCL Technologies is a global technology company that helps enterprises reimagine their businesses for the digital age. The company specializes in key areas, including digital, IoT, cloud, automation, cybersecurity, and analytics, amongst others. With the company increasingly having a presence in the RegTech space, how does it see the sector changing? How is RegTech changing compliance? According to Daryl Wilkinson – Senior Executive, Strategic Initiatives, Financial Services UK&I at HCL Technologies, "I think you can look at this through two lenses. First, there appears to be a consensus that the global RegTech market is expected to achieve $30bn by 2027 – so that alone is changing the compliance market –new investment is disrupting incumbent models and is changing the way regulators engage with businesses. The second lens is cost; financial services rely heavily on legacy technology – RegTech's nature is to find that niche to solve those problems at a much lower cost than the banks and insurers might otherwise do themselves."

Imagining military artificial intelligence (AI) applications can make one dream up scenarios like those in the Terminator films, but in reality, AI solutions for defense are much more mundane and focused on improving decision-making for humans, whether they're aircraft maintenance personnel; pilots; or intelligence, surveillance, and reconnaissance (ISR) analysts, says John Canipe, Director of Business Development, Air Force, at SparkCognition Government Systems, during a conversation we had at his company headquarters in Austin, Texas. We also discussed the difference between AI and machine learning (ML), how AI is being applied across multiple military domains, and more. MCHALE: Please provide a brief description of your responsibility within SparkCognition Government Systems and your group's role within the company. CANIPE: As Director of Business Development, Air Force, my current responsibilities are product development, capture management, price/licensing of products, and generating new and recurring sales. MCHALE: We often see AI/ML [artificial intelligence/machine learning] in the same sentence, or used to describe the same thing, but what is the actual difference between AI and ML? CANIPE: Differentiating AI from ML is a struggle everyone is having right now.

Job summaryAre you passionate to help customers accelerate their journey with Machine Learning and Cloud Computing? AWS Machine Learning Product Management team is looking for an expert Machine Learning Architect with expertise in designing ML solutions to enable rapid adoption by customers. The ML Architect will be the Subject Matter Expert (SME) for helping enterprise customers design machine learning solutions that leverage the Amazon SageMaker on AWS. You will also partner with target ISV partners to develop deeper technical integration with Amazon SageMaker. You will partner with field SAs, Sales, Business Development and the ML Service teams to enable data migration and rapid adoption of Machine learning services. You will develop migration playbooks, reference implementations and share best practices with global community of ML specialists. You will have the opportunity to help shape and execute a strategy to build mindshare and broad use of AWS within startups and enterprise customers. The ideal candidate must be self-motivated with a proven track record in machine learning and solution architecture. You should be technically adept to complement customer teams in their adoption of AWS ML services. You should also have a demonstrated ability to think strategically about business, products, and technical challenges. Roles and Responsibilities · Work with customer’s ML team to deeply understand their business and technical needs and design ML solutions that make the best use of the AWS Cloud platform and ML services. · Partner with Generalist SAs, Sales, Business Development and the AI Service teams to accelerate customer adoption and revenue attainment. · Act as a technical liaison between customers and the service engineering teams to provide product enhancement feedback. · Develop and support an AWS internal community of AI related subject matter experts. · Capture and share best-practice knowledge amongst the AWS solutions architect community · Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates · Act as a technical liaison between customers, service engineering teams and support · Thought Leadership – Evangelize AWS Services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc. · Open to domestic travel up to 30%Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.

Beena Ammanath, executive director of the Deloitte AI Institute, joined the board of trustees at AnitaB.org, the global nonprofit company focused on intersectional gender and pay parity in tech. Ammanath has held leadership positions at HPE, GE, Thomson Reuters, British Telecom and Bank of America and is the founder of the nonprofit organization Humans For AI. "I'm honored to join the distinguished executives and leaders on the AnitaB.org Board of Trustees," said Ammanath. "Throughout my career, I have been passionate about supporting the development of women leaders in the field of technology and I look forward to working with my fellow board members to advance the important work of AnitaB.org." StorMagic, a storage and security products provider, appointed Danial Beer as its chief executive officer. Beer brings more than 25 years of senior management experience in the global software industry. Beer previously held positions as CEO of GFI Software, COO of YOUI Labs Inc., and executive director of both the performance management and M&A divisions of IBM.

In this latest Data Science Central webinar, Dan Chaney, (VP of Enterprise AI & Data Science Solutions, Future Tech Enterprise, Inc.) and Lenny Isler, (Business Development, Advanced Computing Solutions, for HPi), discuss the key internal challenges that companies face when trying to manage their AI programs and align various stakeholders - business leadership, IT, and data science team members - around common objectives and business goals.

I am regularly asked to summarize my many posts. I thought it would be a good idea to publish on this blog, every Monday, some of the most relevant articles that I have already shared with you on my social networks. Today I will share some of the most relevant articles about Artificial Intelligence and in what form you can find it in today's life. I will also comment on the articles. AI (artificial intelligence) offers numerous opportunities to increase your business's value.

Artificial Intelligence (AI), Cloud, 5G, and IoT are continuously advancing innovation that extends across business development all the way down to the consumer level. Critical innovations are emerging from the escalation of new technologies, including hybrid workforces, remote healthcare delivery, hyper-personalization, and zero-touch. These use cases are generating myriad benefits for both organizations and consumers, and inspiring new levels of efficiency, productivity, and engagement. We're currently witnessing a dynamic surge in technological advancement that has spawned the era of ubiquitous digital transformation, but these new technologies still need room to grow. Ronald van Loon is working in partnership with NVIDIA, and recently had the opportunity to discuss the technology trends and drivers shaping the post-pandemic future, and assess the role the Arm acquisition by NVIDIA is positioned to play in this development.

Care Angel, the leader in AI and voice-enabled nurse assistant technology, announced that Mike Hahn has recently joined the company as the new vice president of business development. In this role he will be responsible for leading the company's strategy for aggressive revenue growth moving forward. The appointment follows the recent news that prominent healthcare executive Bud Flagstad, will now serve as the company's new CEO. Mr. Hahn, holds an MBA and is a 15 year healthcare veteran who brings to the senior business development role a commitment to both innovation and collaboration as well as deep experience with large payer and provider relationships. He previously led the Innovation team for UnitedHealth Group's OptumCare unit where he was responsible for the strategy and implementation of new business opportunities and technology-enabled resources to serve various health care stakeholders spanning consumers, health care providers and practices.