Where does your enterprise stand on the AI adoption curve? Take our AI survey to find out. This post is by Dr. Mukta Paliwal, senior data scientist at Persistent Systems. As many as 50% of Gartner client inquiries on the topic of artificial intelligence involve a discussion involving the use of graph technology, the market research firm said in its Top 10 Data and Analytics Trends for 2021. Every large enterprise wants to exploit available data to bring more insights for doing business at scale.

The most impressive thing about OpenAI's natural language processing (NLP) model, GPT-3, is its sheer size. With more than 175 billion weighted connections between words known as parameters, the transformer encoder-decoder model blows its 1.5 billion parameter predecessor, GPT-2, out of the water. This has allowed the model to generate text that is surprisingly human-like after only being fed a few examples of the task you want it to do. Its release in 2020 dominated headlines, and people were scrambling to get on the waitlist to access its API hosted on OpenAI's cloud service. Now, months later, as more users have gained access to the API (myself included), interesting applications and use cases have been popping up every day.

According to Our World in Data, 56 million people died globally in 2017 from non-communicable diseases. And each day, 26,181 people die from cancer. The National Cancer Institute reported that lung cancer accounts for 25% of all cancer deaths. According to Paul Pagano, Interium CEO and Chief Scientific Officer, LungLife AI around 80 percent of lung cancer is diagnosed at a late stage due to inadequate early detection strategies, which generally leads to poor patient outcomes. LungLife AI says it's using artificial intelligence (AI) to diagnose lung cancer from a minimal blood draw.

Our Machine Learning experts will conduct a half day working session with your team to jointly brainstorm and explore different business problems within your organization and help arrive at a prioritized set of use cases towards the end of the session for maximum business benefit.

Persistent Systems, which is one of the largest IT company of India, has invested an undisclosed amount in big data as a service firm, Cazena. The investment was part of a $10 million round, that included some of the other leading investors like Andreessen Horowitz, Formation 8 and Northbridge Venture Partners, among others. As a part of Investment, the company has also partnered with some of the officials of Persistent Systems to further extend the cloud Data Lake to include self-service data discovery and data services for enterprises that don't have data engineering or machine learning or the Natural Language Processing (NLP) skills. "Persistent consistently drives forward rapid digital transformation for our enterprise clients. Partnering with Cazena enables us to extend innovative solutions for analytics and ML for our customers. We are excited to announce the new Self-Service Data Lake, a combination of Cazena's Big Data as a Service with Persistent's ShareInsights analytic solutions and our ML/AI data services. This solution provides enterprises immediate and actionable access to data to help unlock the'how' of digital transformation," said Anand Deshpande, Managing Director, Persistent Systems.

Persistent Systems is a technology services company headquartered in Pune. Every year it hosts a global hackathon called'Semicolons' -- which lasts for 24 hours and comprises self-managed teams who ideate and compete against each other to come up with innovative solutions to everyday problems. This year's theme was Digital Transformation, which saw participation by 45 teams across 11 global centres in 5 countries involving 600 Persistent employees. The winning solution this year was Drishti -- an application which uses advances in deep learning, artificial intelligence, image recognition, person identification, speech-to-text and accessibility technologies to bring value to those who are visually impaired. We spoke to team leader Pandurang Kamat, chief architect -- innovation and R&D at Persistent Systems, who also happens to head the Blockchain division at Persistent Systems.