Machine Analytics® specializes in analytics and data fusion technologies. We develop customized big data solutions for clients in government and private industries using cutting-edge products in the areas of search, text processing, and predictive and prescriptive analytics.  Machine Analytics currently has two Natural Language Processing and one Semantic Search patents pending.

The benefits to our clients are increased business intelligence, enhanced decision support, and greater process efficiency via automation, leading to significant cost savings and profits. Machine Analytics arranges on- and off-site analytics and data fusion training courses customized to a group’s specific needs with materials from books published by in-house experts.

Machine Analytics is run by a highly experienced management team backed by a strong team of scientists and engineers applying a broad range of artificial intelligence and machine learning technologies. The founder, Subrata Das, has many years of analytics and data fusion research and development experience serving clients in government and private industries in areas such as risk assessment, status and health diagnosis and prognosis, document and customer segmentation, and sentiment analysis.

Happenings at Machine Analytics:

Boston Data Festival 2016 – September 22-24, 2016 | Boston, MA

Social Media Text and Predictive Analytics –  Speaker: Subrata Das
The proliferation of social media has led to an explosion of data and opinion, fueling interest in sentiment and social network analyses, especially as individuals, brands and corporations look to manage their reputations and keep up with business intelligence. In order to effectively distill valuable kernels of information from big data and deduce broader conclusions (sentiment), multiple techniques are necessary to employ. Subrata Das will discuss going beyond simple term analysis into the complex world of natural language processing and machine learning for contextual search, document classification, text summarization, topic extraction and information structuring (triples extraction). He will share analysis of Twitter feeds and Facebook posts, derive sentiment from Amazon and TripAdvisor reviews, and relate market sentiment to stock price movement, using Machine Analytics’ cutting-edge text analytics tool aText and predictive analytics tool iDAS. For registration information click HERE.

Big Data Bootcamp Boston – August 19-21, 2016 | Boston, MA

Text & Predictive Analytics with Machine & Deep Learning –  Speaker: Subrata Das
We will start the workshop by providing a general overview of the state-of-the-art in analytics and its trend in the industry. The rest of the workshop will then be divided into three parts.

The first part will focus on traditional predictive analytics techniques and some real life examples drawn from the industry. In order to effectively distill valuable kernels of information from multiple data sources, multiple techniques are necessary to employ. This part of the workshop will take you through a range of traditional computational techniques for handling structured relational data, including regression analyses, decision trees, neural networks, support vector machine and various clustering techniques.

The second part of the workshop is on text analytics. The proliferation of social media has led to an explosion of data and opinion, fueling interest in sentiment and social network analyses, especially as individuals, brands and corporations look to manage their reputations and keep up with business intelligence. You will be taken beyond simple term analysis into the complex world of natural language processing and machine learning for contextual search, document classification, text summarization, topic extraction and information structuring (triples extraction). We will analyze Twitter feeds and Facebook posts, derive sentiment from Amazon and TripAdvisor reviews.

The third part will cover deep learning techniques. We will show you how to make use of deep learning models, such as convolutional neural networks, deep belief networks, and stacked autoencoders, for image classification.

ODSC East – Open Data Science Conference – May 20-22, 2016 | Boston, MA

Social Media Text and Predictive Analytics  –  Speaker: Subrata Das

The proliferation of social media has led to an explosion of data and opinion, fueling interest in sentiment and social network analyses, especially as individuals, brands and corporations look to manage their reputations and keep up with business intelligence. In order to effectively distill valuable kernels of information from big data and deduce broader conclusions (sentiment), multiple techniques are necessary to employ. Subrata Das will discuss going beyond simple term analysis into the complex world of natural language processing and machine learning for contextual search, document classification, text summarization, topic extraction and information structuring (triples extraction). He will share analysis of Twitter feeds and Facebook posts, derive sentiment from Amazon and TripAdvisor reviews, and relate market sentiment to stock price movement, using Machine Analytics’ cutting-edge text analytics tool aText and predictive analytics tool iDAS. For registration information click HERE.

Talk at CSE  – May 3, 2016 | Boston, MA

Big Data Analytics with Machine and Deep Learning Techniques  –  Speaker: Subrata Das

Big data has tremendous potential to transform businesses but poses significant challenge in searching, processing, and extracting actionable intelligence. In this talk, I will present an overview of the state-of-the-art machine and deep learning techniques relevant to solving business problems involving big centralized warehouse data, inherently distributed data, and data residing on the cloud. The analytical techniques to be discussed will handle both structured transactional data as well as unstructured textual data such as emails, blogs, surveys, etc.

Bentley Analytics Symposium | Bentley College – January 26, 2016 | Waltham, MA

Big Data Everywhere | Hadoop Conference – June, 2015 | Boston, MA

Global Big Data Conference – August, 2015 | Raleigh, NC

PAAMS Conference – June, 2015 | Salamanca, Spain