Saama Blog

Big Data Insights on Saama solutions and services

Professor Sawhney from Kellogg Business School talks about Saama

How Saama Went from the “Seduction of More” to the “Wisdom of Less” – A Case Study from Kellogg School of Management

By Mohanbir Sawhney | August 9, 2018

In my advisory work with startups and mature companies undergoing a transformation, I have found that they often pursue growth opportunities in an undisciplined manner and end up spreading themselves too thin. In the relentless pursuit of growth, no opportunity is passed up and no customer is turned away. However, growth is not about doing…

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Movidius: The Next Big Leap In Machine Learning Inference For Edge Computing?

By Soham Chatterjee | July 27, 2018

Soham Chatterjee makes a case for moving large computations to the Edge instead of wasting bandwidth and other resources for backing of every type of data on the cloud. He further explains how to do it using a Raspberry Pi and the Intel Neural Compute Stick (NCS), a low power USB stick size device that can be used to run machine learning model inference on the Edge.

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Saama’s LSAC Featured on Amazon AWS web series ‘This is My Architecture’

By Krunal Patel | June 1, 2018

Krunal Patel, Saama’s Head of Engineering & Architecture, was invited to talk about Life Science Analytics Cloud (LSAC) on a segment on Amazon’s web series This is My Architecture, which highlights innovative architectures developed by its partners and customers using the scalable and flexible AWS cloud.

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2 Key Ways in Which Blockchain Can Enable Pharmaceutical Manufacturing and Supply Chain

By Tushar Sinkar | May 24, 2018

Building on the advantages of blockchain technology, Tushar Sinkar take a step forward to discuss ways in which blockchain can enable Pharmaceutical Manufacturing and Supply Chain. He presents use cases to establish blockchain’s ability to combat counterfeit drug production and its contribution in Autologous Therapy, which requires a high level of confidentiality, integrity and availability.…

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Attention Mechanism: Benefits and Applications

By Suriyadeepan Ramamoorthy | April 19, 2018

Recurrent Neural Networks (RNNs) are powerful neural network architectures used for modeling sequences. LSTM (Long Short Term Memory) based RNNs are surprisingly good at capturing long-term dependencies in the sequences. A barebones sequence-to-sequence/encoder-decoder architecture performs incredibly well in tasks like Machine Translation. A typical sequence-sequence architecture consists of an encoder and a decoder RNN. The…

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Blockchain in Drug Discovery and Development

By Tushar Sinkar | April 11, 2018

The uses and application of blockchain technology are vast and far-reaching. In this article, Tushar Sinkar explores some blockchain uses that can be applied for drug discovery and development, such as eliminating data tampering and ensuring IP protection, among other uses.

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Privacy and Machine Learning: Concerns and Possible Solutions

By Arjun Bahuguna | April 4, 2018

AI and its applications are here to stay, even if they bring with them new challenges, as their advantages seem to outweigh the risks. However, in the light of latest controversies and concerns over privacy breach by social companies, the efforts to ensure privacy of users need to be redoubled. Arjun Bahuguna discusses the solutions that manage the vulnerabilities of machine learning and instead leverages its strength to guard information privacy.

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Disruptive Innovation of Blockchain and Evolution of Pharmaceutical Ecosystem in Data Integrity and Transparency

By Tushar Sinkar | March 14, 2018

An interconnected ecosystem is the need of the hour in the pharmaceutical world, where it is more important than ever to enable sharing of information among patients, researchers, and manufacturers and supply chain organizations. However, sharing entails risk to data security. Tushar Sinkar discusses the merits of using blockchain to solve the data security issue and facilitate easy sharing of information.

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Women and Data Science

By Archana Iyer | March 8, 2018

It is well-known that there are far fewer women techies and those that do choose work in tech, somehow avoid data science. Archana Iyer discusses the merits of having more women in the field of data science and presents some reasons why she feels that women’s innate temperament is highly suited to data science.

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Leveraging AI to Design Optimized Clinical Trials

By Leon Surgeon | March 7, 2018

AI capabilities, such as machine learning, have emerged as optimum tools for optimizing clinical trials. Leon Surgeon discusses the challenges of using traditional methods for designing clinical studies and why adapting AI is the best way forward.

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Blockchain Smart Contract Security

By Arjun Bahuguna | February 28, 2018

Blockchain is a digital ledger in which cryptocurrency transactions are recorded. In this article, Arjun Bahuguna discusses ethereum, a public blockchain, as it is the most popular platform for writing smart contracts and building decentralized applications.

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Poincarè Embeddings for Representing Hierarchical Data

By Soham Chatterjee | February 14, 2018

Embeddings are the best way to create efficient representations of words and graphs. In this article, Soham Chatterjee talks about problems in the Euclidean plane representations and explains how Hyperbolic Poincaré Embeddings work.

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Quantization and the Need for TPUs

By Archana Iyer | January 17, 2018

Archana dives into the world of TPUs and discusses quantization, the process that is really responsible for making predictions in a neural network, lending a magical touch to the machine learning process. Read on to understand how quantization can be both a boon and a bane, depending on where it is used.

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Analytics Trends 2018: Blockchain and AI to Accelerate Clinical Trials Transformation

By Sagar Anisingaraju | January 10, 2018

All clinical trial processes are witnessing rapid transformation due to the demand for faster and completion of trials at lower costs. Insights gleaned from Real World Data (RWD) in the past few years have offered several avenues for improving clinical trials. Sagar Anisingaraju discusses the upcoming trends of 2018 in this light. Read on to learn about the technologies poised to make a wave this year.

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An Attentive Sequence Model for Adverse Drug Event Extraction from Biomedical Text

By Malaikannan Sankarasubbu | January 3, 2018

Adverse reaction caused by drugs is a potentially dangerous problem which may lead to mortality and morbidity in patients. Adverse Drug Event (ADE) extraction is a significant problem in biomedical research. We model ADE extraction as a Question-Answering problem and take inspiration from Machine Reading Comprehension (MRC) literature, to design our model. Our objective in…

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