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This blog is a contribution from our customer, Personify Health, the first personalized health platform company. Learn how their team reduces AI model development time by 82% for personalized healthcare.

Personify Health is a global company empowering diverse and unique businesses — and diverse and unique people — to engage more deeply in health at a lower cost. We’ve brought together health plan administration, holistic wellbeing, and comprehensive navigation solutions to create the industry’s first and only personalized health platform.

We’re bridging the gap between the enormous potential of AI and the need for smarter healthcare. Our AI-powered platform helps our 19 million members across 190+ countries to proactively manage their health with highly personalized recommendations and content that spans mental health, nutrition, sleep, movement, exercise guidance, and more.

To achieve personalization at this level and drive efficiency throughout the company, we’re accelerating AI adoption with more than 15 predictive and generative AI projects currently underway. DataRobot has been essential for improving the efficiency and effectiveness of our expert team of data scientists, engineers, and data analysts. 

Why accuracy and governance are essential for AI in healthcare

Personify Health has the best and brightest data scientists, engineers, and analysts on our team. But in order for them to do their best work, they needed a toolset that would reduce daily headaches like tool overload, clunky workflows, and duplicative work. As CTO, I want my people focused on delivering results, not managing bad processes.

I’m a strong believer in eliminating silos across the organization. Our engineers, data scientists, and analysts must come together on one platform to scale our development cycles and productivity gains. But we must be thoughtful with each decision, particularly as healthcare is a highly regulated field with numerous ethical concerns.  

We need to blend AI with human expertise for a close personal touch along the entire customer journey. Our members trust us to guide their health and wellbeing through recommendations provided by advanced predictive analytics, while our health coaches rely on generative AI co-pilots to make them more effective partners to our community members. 

Internally, we also use generative AI to drive productivity with helper bots for different business functions. Trust in each of these AI applications is absolutely essential for us to do our jobs and support our member community in continuing to improve their health.

Predictive models are critical to the personalized experience we provide on our platform. To inform Personify’s predictions, we consider a dataset that encompasses approximately 275 million people with 700 features. We need to train models on constantly changing data — at scale — across hundreds of models multiplied by millions of members.

DataRobot allows our team to train multiple models simultaneously and compare outputs for the greatest possible accuracy. Their end-to-end platform means we have the tools to quickly deliver results our customers can trust. 

Supporting Personify’s model responsibility standards

Centralized tooling further supports our commitment to social and model responsibility with the right infusion of ethics, privacy, and governance. At Personify, here’s how we’re taking a thoughtful approach to AI adoption and use across the company:

A steering board

An AI executive steering board oversees all projects to help guide our decisions at the leadership level.

Research and development

An R&D team researches and builds the foundation for our generative AI-based frameworks for use cases in operations, commercial marketing, and content generation.

Governance team 

AI policy governance is critical in how we work with data. Our AI policies propagate to our 70+ sponsors on the platform so everyone understands how we protect data. Our governance team guides AI policies with input from our legal counsel. 

Privacy and bias mitigation

We work with anonymized data sets, which keep member data private. At the same time, it eliminates the possibility of bias in our models. 

A unifying platform

To reduce silos and accelerate model time, we chose DataRobot to bring all our teams and predictive models in one place. We’ve been able to rip apart those silos across the organization, which is fundamental to our success.

The platform unifies our AI analytics across teams, technologies, and data sources, and speeds our time to production. Instead of taking three weeks to get an acceptable model, we can do it in 21 hours and create multiple models in parallel.

DataRobot also supports our governance framework with essential explainability. Having visibility behind models helps us quickly understand, choose, and gain acceptance of the right models. 

Building momentum for generative AI in personalized healthcare

Looking ahead, generative AI will become a greater part of how we enable our organization. With the foundation we’ve already built in DataRobot across predictive AI and generative AI models, I’m excited for Personify Health’s future. 

We’re already unifying all of our generative and predictive AI models within DataRobot to further improve how we manage and monitor them to drive meaningful results for the business and our members. This platform is core to many of our objectives as we continue to lead the future of AI in healthcare.

For example, we foresee having our own AI conversational hub on the backend that plugs into all our products to answer questions for even greater responsiveness.

We’ve also been experimenting with DataRobot Application Templates, which will give us repeatable use-case logic that the team can adapt for specific business problems. This solves a significant headache for our team and will let us move at an even faster pace.

Together, Personify Health is empowering consumers with smarter recommendations that are held to the highest ethical and legal standards. DataRobot makes it so much easier to build and manage AI models, which means my team can focus on delivering better health and wellbeing recommendations to our customers. 

Check out Personify Health’s customer spotlight to learn more about how they reduced AI model development time by 82%.

The post Customer spotlight: Personify Health’s thoughtful approach to AI adoption appeared first on DataRobot.

Advancing adaptive AI agents, empowering 3D scene creation, and innovating LLM training for a smarter, safer future

A team of roboticists at École Polytechnique Fédérale de Lausanne, working with a colleague from the University of California, has designed, built and demonstrated a bird-like robot that can launch itself into flight using spring-like legs.

Stretch currently unloads boxes autonomously at the Hermes Fulfillment center, while Spot supports predictive maintenance by inspecting fire exits and structural changes and detecting air and gas leaks.

An innovative algorithm called Spectral Expansion Tree Search helps autonomous robotic systems make optimal choices on the move.

In 2018, Google DeepMind's AlphaZero program taught itself the games of chess, shogi, and Go using machine learning and a special algorithm to determine the best moves to win a game within a defined grid. Now, a team of Caltech researchers has developed an analogous algorithm for autonomous robots—a planning and decision-making control system that helps freely moving robots determine the best movements to make as they navigate the real world.

A team of researchers has beaten its own record for the fastest swimming soft robot, drawing inspiration from manta rays to improve their ability to control the robot's movement in the water.

A Shock to Corporate America The sudden and violent death of Brian Thompson, CEO of UnitedHealthcare, has shaken both the business world and the public. Thompson, a seasoned leader of one of the largest private health insurers in the U.S., was shot in a targeted attack outside the Hilton hotel in midtown Manhattan. The incident,...

The post A Tragic Loss: The Brazen Killing of UnitedHealthcare CEO Brian Thompson and Its Broader Implications appeared first on 1redDrop.

A team of researchers has beaten its own record for the fastest swimming soft robot, drawing inspiration from manta rays to improve their ability to control the robot's movement in the water.

New AI model advances the prediction of weather uncertainties and risks, delivering faster, more accurate forecasts up to 15 days ahead

Generating unlimited diverse training environments for future general agents

Carnegie Robotics introduces military-grade, body-worn compute system called CardShark that is gaining traction with Booz Allen Hamilton

Electronic skins (e-skins) are flexible sensing materials designed to mimic the human skin's ability to pick up tactile information when touching objects and surfaces. Highly performing e-skins could be used to enhance the capabilities of robots, to create new haptic interfaces and to develop more advanced prosthetics.

Why Is Flutter The Ultimate Choice For Your Mobile App Development?

Since its inception in 2017, Flutter has emerged as one of the most sought-after frameworks for mobile app development. It facilitates mobile app developers to create apps on numerous platforms using only one codebase and is actually the heart of such a craze.

What truly distinguishes Flutter is the performance and flexibility it offers. Flutter ensures that apps are both aesthetically pleasing and highly functional. As a result, many firms are using Flutter to reduce app development costs, shorten time-to-market, and deliver consistent user experiences.

Now let’s discuss why Flutter is best suited for mobile app development and why, in the recent past, it has become such a hot favorite in the business of app development.

Overview of Flutter

Flutter is an open-source framework created by Google to make mobile app development easier. It uses the Dart programming language, allowing developers to develop applications for several platforms, including Android, iOS, the web, and desktop, from a single codebase. This method not only saves time but also assures a uniform user experience across platforms, a huge advantage in today’s competitive app industry.

One of the greatest strengths of Flutter is the possibility of natively displaying user interfaces with no need for native components. Instead, Skia, the rendering engine, can provide an aesthetically beautiful design with high efficiency. Moreover, the framework supports a massive library of pre-built widgets, which can be modified to suit the requirements of any set of specifications to present individual and versatile applications. 

Key Features of Flutter Mobile App Development Technology

• Hot Reload: 

This feature helps developers to view code changes instantly without having to restart the application. This greatly speeds up development, increasing the effectiveness of fast prototyping and testing.

• One Codebase for Many Platforms:

Flutter allows you to create code once and have it run on various platforms, such as desktop, web, iOS, and Android. Thus, it saves development time as well as costs involved.

• Rich Widget Library: 

Flutter has a large number of customizable widgets that enable developers to construct smooth and appealing user interfaces. These widgets follow Material Design and Cupertino standards, providing a native-like experience. 

• Performance Optimization: 

Flutter does not rely on platform-specific components, but instead uses its rendering engine known as Skia to ensure flexibility and responsiveness.

• Open Source and Frequent Upgrades: 

Flutter has a vibrant community and receives frequent updates, keeping it contemporary and feature-rich.

These characteristics not only improve the development process, but also ensure that the final product satisfies high quality and performance expectations.

Business Advantages of Using Flutter

• Cost Efficiency: 

Flutter’s single codebase strategy dramatically lowers development expenses. Instead of hiring different teams for Android and iOS, firms can use a single team to develop an app for both platforms.

• Faster Time-to-Market: 

The unique features of Flutter help to complete the development quickly. This gives the companies a competitive advantage by enabling them to distribute their apps faster.

• Platform Consistency:

The applications developed using Flutter ensure the same look and feel across all platforms. It enhances user experience and strengthens brand identity.

• Scalability:

The requirement of apps will keep on change along with changing business needs. The adaptability of Flutter allows for fast development of apps and scaling with no major redesigns.

• Better User Engagement: 

The powerful rendering engine along with the huge collection of widgets makes Flutter possible to develop beautiful and highly responsive applications, and also increases retention and satisfaction for users.

Therefore, Flutter provides a balance of quality, speed, and cost savings, which is a good option for developing mobile and web apps for startups as well as big corporations.

Top Use Cases for Flutter

While Flutter is not ideal for all projects, it excels in specific contexts, making it an adaptable platform for a wide range of app development requirements.

• Startup and MVP Development: 

Startups often work under very tight timelines and financial constraints. Flutter’s single codebase and fast development abilities make it suitable for developing minimum viable products. These can just be implemented to take the user’s input.

• Apps with Rich Features:

Due to Flutter’s rendering engine, which boasts highly customizable widgets,  it will generate dynamic content, fluid animations, and smooth transitions.

• E-commerce and Business Apps: 

Retail, financial, and service businesses must need apps with user-friendly designs and features. Flutter’s efficient integration with backend services will provide robust functionality.

• Apps for Emerging Technologies: 

Flutter continues to adapt to cutting-edge platforms like foldable devices and embedded systems, making it a future-proof choice for enterprises pursuing innovative solutions. 

Limitations of Using Flutter You Should Know

Even though Flutter has many benefits, it’s crucial to weigh any potential disadvantages to see if it fits the requirements of your project.

One major disadvantage is that applications made using Flutter contain the framework’s engine, which usually is much bigger in file size than native applications. Thus, for some users with limited space in their devices or from areas where the internet speed is poor, it would be a problem. Such assets and code of an app can be optimized by developers to reduce this problem.

Though Flutter makes sure that excellent cross-platform compatibility is ensured, some platform-specific features or APIs need extra effort to be accessed through native code. This would make things slightly complicated at times while developing complex features.

While being very easy to learn and get through with, Dart always has that minor hitch on the learning curve for those developers who are not familiar with the language. However, the ease of use is worth the additional time spent learning it.

Although Flutter shares a more vibrant library ecosystem, it still falls behind the range of third-party connectors one might find on established platforms, such as React Native. In some cases, developers will have to roll their own plugins.

Older devices with limited hardware capability also cannot handle complex user interface components and Flutter’s rendering engine. Therefore, further testing is required to be sure that compatibility exists.

Conclusion

Flutter has developed as a popular solution among firms looking to create cross-platform mobile applications. Using a single codebase for Android, iOS, web, and desktop apps reduces development time and costs. Flutter is an excellent alternative for startups and large companies due to its rapid performance, ease of customization, and consistent user experience.

At USM Business Systems, we create apps in Flutter designed around your specific business needs. Our company is at the forefront of mobile application development, and we assure you that every application we generate will look great, be intuitive to use, and run as efficiently as possible. Whether you just want something simple or something complicated, we have the skills to get your ideas developed.

If you want to develop a mobile application, then Flutter might be the right one to choose for you. Let us help you create an application designed to make your business stand out.

South Korea’s recent political landscape took a dramatic turn with President Yoon Suk Yeol’s surprise declaration of martial law. This unprecedented move, reminiscent of a bygone era of authoritarian rule, has ignited widespread condemnation and raised serious concerns about the country’s democratic trajectory. Yoon’s justification for this drastic measure, citing the need to counter “pro-North...

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