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In this episode, we talk to expert solution architects from Amazon Web Services about enterprise modernization and serverless automation. The conversation starts by understanding the meaning of enterprise modernization, and then shifts towards the definition of serverless automation. We later dive into the scope, considerations and advantages of serverless automation.

In this episode, our panelist and AI expert, Anand Ranganathan, is in an insightful discussion with our host, Michael Watson, about the impact of Artificial Intelligence in Healthcare. The panelists cover topics such as:

- AI is a means to get access to healthcare data

- AI is used to Identify Patterns and Trends in Healthcare

- Getting access to healthcare data across multiple disciplines

Podcast Guest –

Akshay Gawate, Sr. Machine Learning Engineer, Excellarate

Brief Summary

In this episode, our panelist and AI expert, Akshay Gawate, shares details of a recent project where we worked with a pharmaceutical company to build a predictive analytics model. We also discuss the general challenges of organizations in the pharmaceutical industry such as data disparity and learn how predictive models can help alleviate these challenges using AI and machine learning technologies.

In this episode, a panel of seasoned HealthTech professionals discusses the challenges in healthcare data. They dive into the specific challenges faced by the industry such as interoperability, access and transmission of healthcare data, as well as the abundance of data in healthcare.

In this episode, our panel discusses the success story of a major insurance firm leveraging our Appian expertise to roll out a release. Tune in to understand Appian’s features, differentiators among other low-code platforms, and trends in 2022.

Gartner reports suggest that by 2024, low-code application development will be responsible for more than 65% of application development activity. As low-code technology takes the software industry by a storm, we are intrigued by the major player in low-code platform – Appian.

In this episode, we talk to Tim Clark, Director of R&D at Excellarate, and Richard Nolan, Lead Appian Technical Architect at Excellarate, about the use cases, advantages, and real-life case studies of Appian’s low-code platform.

Key Takeaways:

- Understanding low-code technology

- Appian records, key features, and integrations

- Data security and business continuity with Appian low-code platform

Angular Flex-Layout is a stand-alone library developed by the Angular team for designing sophisticated layouts.

In this podcast episode, we talk to Nikhil Walvekar about the advantages, use cases, and differentiators of Angular Flex layout.

The retail banking and investing industry is not novice to chatbots and virtual assistants, but Conversational AI promises to completely revolutionize the way these services' function.

A digital person is an enhanced form of conversational AI that leverages sophisticated technologies such as Natural Language Processing, Emotion Recognition, Deep learning and more to enable intelligent computer-human interactions.

In this podcast episode, we talk to Jarrett Miller, Director of North American Partnerships at Soul Machines about the applications of a digital person in the retail banking and investing space. Our SME, Jim Sloan, talks to Jarrett about:

- Definition of Conversational AI and Digital People

- Technology behind Conversational AI

- Use Cases for Retail banking and investing

- Digital people as differentiators for retail banks and investment firms

- Risks and challenges involved

Security is of utmost importance when dealing with healthcare data. The HIPAA Security Rule states that covered entities must “implement technical security measures to guard against unauthorized access to electronic protected health information transmitted over an electronic communications network”.

In this episode, our HealthTech experts discuss myriad challenges and uniqueness of those challenges for healthcare data analytics, and how technologies such as cloud and IoT play an important role in overcoming them.

According to an IDC report, the volume of healthcare data in 2013 was 153 exabytes, in 2020 it is projected we will have 2,314 exabytes of healthcare data, which is 15 times more data just in the last 7 years. So the question is – are we drowning in healthcare data today, and wait another few years, will it explode?

Tune in to this episode to explore the different types of healthcare data, and the challenges in collecting, managing, and using this data.