We want to use AI to augment the abilities of people, to enable us to accomplish more and to allow us to spend more time on our creative endeavors.
OUR SECRET TO SUCCEED Exceptional people, processes, and technology all dedicated to getting the job done right. That's what we mean by technology execution. We understand that for technology to work it has to serve real business needs, and that every IT service has to be implemented by people. So we focus first on understanding your company and its industry needs, and then on meeting those needs with extraordinary people who have both the industry specific technical skills and the work ethic and communication skills to help ensure your success. Throughout MDSsystems history (Since 1987)in technology staffing/training/Management consulting, we have remained committed to the principles on which our technology staffing company was founded: integrity, character, confidence, respect, and unrelenting commitment to service.
we will foster a "can do" entrepreneurial spirit with speed and flexibility in all that we do, including the fastest "from concept to Customer" time and a rapid "from creation to market" time. As we grow larger, it is important to keep the excitement and competitive differentiation of a small company. That spirit also includes embracing change as an opportunity for growth - we will not be successful by doing the same things that we've done well historically again and again. Our world, our markets, our Customers, will always be changing and we must evolve to compete.
AI can help, but it’s not a silver bullet: tackling these questions requires a concerted, collaborative effort across all sectors of society. We believe that we can meaningfully contribute, drawing on the scale of our products and services, investment in AI research, and our commitment to using and developing AI responsibly. We’re doing that through AI for Social Good, a program that focuses our AI expertise on solving humanitarian and environmental challenges. Our work is centered on two pillars: applying core research and engineering efforts to projects with positive societal impact, including partnering with experts, and empowering the ecosystem with tools and resources through initiatives like the AI Impact Challenge.