New-age technologies like artificial intelligence (AI) and machine learning have profoundly impacted various business applications. However, organisations are still struggling to scale AI projects because deploying machine learning models into production can take a long time. According to a recent report, only 53 per cent of projects make it from AI prototypes to production.

There are various reasons behind the failure, such as lack of adequate skills, insufficient data, and lack of organisational understanding of the utility of AI, among others. However, one primary reason why these projects fail is the execution of a weak AI strategy.

Making the deal out of data

Data is an important asset to an organisation. Extracting useful insights from the raw data can help businesses make better decisions. Here the role of data science becomes instrumental in analysing large amounts of unstructured and structured data.

Sigmoid is one such leading data solutions company that takes the data game to the next level and helps transform data into business goals. The company offers a custom AI strategy built with a combined effort of business consultancy, data science and data engineering capabilities for the specific business requirements. Sigmoid has also been recently figured in the Financial Times list of The Americas’ Fastest Growing Companies 2021.

Let us take a deep dive into how this data solutions company has successfully executed AI solutions and delivered tangible results for Fortune 500 companies.

One step ahead in the game

Setting itself apart from its competition, Sigmoid delivers tangible business outcomes for issues where other analytics vendors and internal data science teams have struggled, such as putting ML models into production. Since 2013, Sigmoid has developed expertise to handle end-to-end machine learning projects, including data management, model training, testing, deployment, and performance monitoring with core specialisation in data and analytics.

“At Sigmoid, we are passionate about delivering tangible results to some of the most pressing challenges faced by our clients. Our success in projects is driven by our commitment to building world-class talent in data science. We provide in-house training to help them keep in sync with the latest trends and best practices, translating into the overall success of the project,” says Rahul Kumar Singh, Co-founder and Chief Analytics Officer at Sigmoid.

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