WonderBotz | May 27, 2022
WonderBotz, a global leader in the delivery of enterprise-grade automation and advanced AI solutions, announced today that it has partnered with Krista Software, the makers of "Krista". Krista is an intelligent automation platform that uses natural language and machine learning to personify legacy systems allowing people to "Ask Krista" for a business outcome. WonderBotz will embed Krista into its automation footprint to further differentiate its offerings and services.
"We strive to bring cutting-edge automation capabilities to our customers," said Steve LaValle, Co-CEO of WonderBotz. "Enabled by its natural language understanding and AI, Krista capabilities expand the pool of high-value automation use cases available to our customers and prospects."
John Michelsen, CEO and Founder at Krista Software added, "WonderBotz provides innovative and next generation automation capabilities to their customers, which makes this partnership very strategic for us. AI-led Intelligent Automation is a key catalyst to bring about digital transformation in any industry, and with WonderBotz we will deliver on this promise together."
WonderBotz LLC, managed by industry leaders, is single-mindedly focused and committed to helping organizations employ quality digital workers to deliver efficiency and competitive advantage by leveraging its professional services, training, mentoring, and Robotics-as-a-Service (RAAS) offerings. Our team brings technical excellence, innovation, and high-quality standards exceeding our clients' expectations on every engagement. WonderBotz works with leading marketplace RPA platforms.
About Krista Software
Krista Software develops the AI-led intelligent automation platform, Krista. Krista enables companies to automate complete business processes by elegantly orchestrating people, apps, and AI. Krista uses natural language processing and machine learning to personify legacy systems allowing people to "Ask Krista" for a business outcome.
Union.ai | June 10, 2022
Union.ai, provider of the open-source workflow orchestration platform Flyte and its hosted version, Union Cloud, today announced the release of UnionML at MLOps World 2022.
The open-source MLOps framework for building web-native machine learning applications offers a unified interface for bundling Python functions into machine learning (ML) microservices. It is the only library that seamlessly manages both data science workflows and production lifecycle tasks. This makes it easy to build new AI applications from scratch, or make existing Python code run faster at scale.
UnionML aims to unify the ever-evolving ecosystem of machine learning and data tools into a single interface for expressing microservices as Python functions. Data scientists can create UnionML applications by defining a few core methods that are automatically bundled into ML microservices, starting with model training and offline/online prediction.
"Creating machine learning applications should be easy, frictionless and simple, but today it really isn't., The cost and complexity of choosing tools, deciding how to combine them into a coherent ML stack, and maintaining them in production requires a whole team of people who often leverage different programming languages and follow disparate practices. UnionML significantly simplifies creating and deploying machine learning applications."
Union.ai CEO Ketan Umare
UnionML apps comprise two objects: Dataset and Model. Together, they expose function decorator entry points that serve as building blocks for a machine learning application. By focusing on the core building blocks instead of the way they fit together, data scientists can reduce their cognitive load for iterating on models and deploying them to production. UnionML uses Flyte to execute training and prediction workflows locally or on production-grade Kubernetes clusters, relieving MLOps engineers of the overhead of provisioning compute resources for their stakeholders. Models and ML applications can be served via FastAPI or AWS Lambda. More options will be available in the future.
Union.ai helps organizations deliver reliable, reproducible and cost-effective machine learning and data orchestration built around open-source Flyte. Flyte is a one of a kind workflow automation platform that simplifies the journey of data scientists and machine learning engineers from ideation to production. Some of the top companies, including Lyft, Spotify, GoJek and more, rely on Flyte to power their Data & ML products. Based in Bellevue, Wash., Union.ai was started by founding engineers of Flyte and is the leading contributor to Flyte.
Empower AI | June 08, 2022
NCI Information Systems, Inc., a long-time technology provider to U.S. government agencies, today announced that it has become Empower AI. The transformation reflects the successful adoption of the Empower AI Platform across federal defense, civilian and health care agencies, and leverages Empower AI’s all-inclusive AI-as-a-Service (AIaaS) approach.
“Empower AI is declaring what we know to be true: AI is the most transformative technology of this era,” said Paul A. Dillahay, president and CEO of the new Empower AI. “AI represents the single biggest opportunity to enhance productivity of the federal workforce. By aggregating and synthesizing data quickly and more effectively with AI, we can elevate mission success for every government agency.”
According to December 2021 research from Deloitte, 92% of federal agency leaders believe AI is important to their mission outcomes but the lack of technology supporting artificial intelligence is the top barrier to taking advantage of it. With nearly half of mature government organizations still beginners at AI, according to the same study, Empower AI’s AIaaS model makes government adoption easier by reducing risk and focusing on the “human development” aspects through integrated development, implementation, maintenance, and performance services at a fixed, inclusive cost.
Empower AI Platform built for the government ecosystem
The company’s flagship product, the Empower AI Platform, introduced in 2020 and continuously enriched, is built on decades of mission experience and tailored specifically for government challenges. The platform gives government agency customers the insights and tools necessary to make critical decisions faster.
“Our deep knowledge and understanding of our federal clients featured prominently in the development of the Empower AI Platform,” Dillahay said. “We designed it specifically for the unique ways in which government works, and in accordance with its strict requirements for security and transparency.”
The platform’s components include an AI framework, hyper-automation tools, and digital assistant:
Empower AI Works: A suite of hyper-automation tools helps shift focus to the most impactful work by automating time consuming tasks with AI, without the need for human intervention.
Empower AI Advises: A side-by-side AI assistant that accelerates human decision-making and increases productivity.
Empower AI Leads: A comprehensive AI management system that equips mission leaders to make better, faster decisions and achieve meaningful digital evolution through a unique and streamlined view of objectives, projects and tasks updated in real-time as work is accomplished.
Empower AI’s commitment to the transformative power of AI has already yielded results. The company has secured more than $1.5 billion in AI-enabled work and more than 75% of its customers have implemented the Empower AI Platform to recognize the exponential effectiveness of their AI-enabled workforce.
About Empower AI
Empower AI is AI for government. Empower AI gives federal agency leaders the tools to elevate the potential of their workforce with a direct path for meaningful transformation. Headquartered in Reston, Va., Empower AI leverages three decades of mission experience solving complex challenges in Health, Defense, and Civilian missions. Their proven Empower AI Platform provides a practical, sustainable path for clients to achieve transformation that is true to who they are, what they do, and how they work, with the resources they have. The result is a government workforce that is exponentially more creative and productive.
Geminus.ai | June 14, 2022
Geminus.AI announces the launch of its first product; a predictive intelligence platform that has the power to transform how companies design and operate industrial products and processes. The Geminus Platform fuses adaptive AI with physics using multi-fidelity modeling to enable creation of predictive models that uniquely combine high accuracy and speed, fast updating, and quantified uncertainty.
The product allows users to leverage key information on hand, such as low- and high-fidelity simulation, as well as real-world data, to efficiently create high performing predictive models that can be used for a variety of use cases including process design and control optimization.
"Lam’s interest in Geminus is driven by the potential to employ their hybrid modeling capability to better predict how our equipment would behave in high volume manufacturing and optimize designs accordingly.”
Faran Nouri, a director of Geminus and VP at Lam Research, an investor in Geminus
The investments an organization makes in modeling technology can be staggering and the risks associated with generating expensive, ineffective models are high. Compared to conventional physics-based alternatives, Geminus improves ROI with faster, more effective models, reducing the risks of bad decision making. It also provides another step toward enabling digital twins, with all the advantages they can offer.
“We believe that AI in its current form will struggle to deliver ROI in complex systems that cannot tolerate insufficient accuracy and dynamically change over time. For example, our models can power digital twins that predict the behavior of highly complex processes, and enable increased productivity, at a level that does not yet exist today,” said Greg Fallon, CEO of Geminus.ai.
Geminus exists to address the challenges of conventional AI, which includes heavy data requirements, long training times, and difficulty updating. The Geminus platform uses novel, physics-informed AI computing to translate constraints of the physical world inside resilient digital models. Furthermore, it requires only sparse data, and models are easily updated with the infusion of new data points. Data scientists and modeling engineers can use the platform to predict the behavior of complex systems and help them make informed decisions.