CTE to hold event on AWS’s Data Lake Building Capabilities for Machine Learning

Cambridge Technology Enterprises (NSE: CTE; BSE: 532801), a leading global technology company focused on Artificial Intelligence as a Service (AIaaS) to transform organizations into AI-first leaders, is organizing a series of events titled ‘Beyond Prediction Series: Building a Data Lake for Machine Learning with Amazon Web Services’ in USA starting 8th March till 22nd March 2018 covering seven cities. End Quote

New York, NY (1888PressRelease) March 16, 2018 - Exponential data growth in terms of unstructured data and real-time data from IoT networks, and economics of digital storage and cloud computing are growth drivers for Machine Learning across industries. In this direction, a data lake allows you to store massive amounts of data in its original form, without the need to enforce a predefined schema, enabling a far more agile and flexible architecture, which makes it easier to gain new types of analytical insights from your data. Today, enterprises can build their Machine Learning capabilities using data lakes, supported by cloud technologies.

CTE has embarked on this journey to becoming a leader in AI and ML and implementing cutting-edge IT solutions in a world that is becoming increasingly digital. In this context, we have been running a series of events with industry veterans including the one held in India in February 2018 in partnership with Microsoft Azure. Whether our client is a start-up or a Fortune 500 Company, our goal is to help it analyze its individual needs and challenges, develop a unique plan to meet them, and put that plan into action.

These events will be hosted by Nitin Tyagi, VP - Enterprise Solutions, CTE and Peter Buckley, VP - Sales, CTE with focus on the showcasing the way enterprises can start building their Machine Learning Capabilities using Data Lakes.

Areas of discussion:
- Data Lake implementation considerations
- Learn how AWS can help enable a Data Lake architecture
- Understand some of the key architectural considerations while building a Data Lake
- An Introduction to AWS AI and Machine Learning Platform
- How Enterprises can start building their AI and Machine Learning Capabilities

For registrations, please visit
Atlanta - http://www.ctepl.com/ctevents/datalake/Atlanta/
St. Louis - http://www.ctepl.com/ctevents/datalake/StLouis/
Des Moines - http://www.ctepl.com/ctevents/datalake/DesMoines/ Omaha - http://www.ctepl.com/ctevents/datalake/Omaha/
Kansas City - http://www.ctepl.com/ctevents/datalake/Kansas/ Wichita - http://www.ctepl.com/ctevents/datalake/Wichita/ Topeka - http://www.ctepl.com/ctevents/datalake/Topeka/

About Cambridge Technology
Cambridge Technology Enterprises (CTE) is a leading global technology company transforming organizations into "AI-first" leaders. CTE is enabling its customers to create AI solutions that transform their businesses; by helping solve the world's complex and most interesting business challenges with AI. CTE gives organizations unparalleled access to cutting-edge technology by bringing together the best-in- industry using its years of expertise in building solutions for some of the world’s largest and most innovative enterprises; leveraging Big Data, Cloud & Machine Learning experience. CTE’s products and

services address all the transformational AI needs of an organization — from strategic workshops to implementation of transformative business solutions through its AI as a Service (AIaaS). CTE’s expertise across multiple domains makes it the preferred choice for organizations seeking an AI Partner to innovate and leapfrog the market. CTE is assessed at Maturity Level 5 for CMMI v1.3 with ISO 27001:2013 certification. For more information, visit www.c7e.co or follow ( @ ) cam_technology on twitter dot

Forward-looking and Cautionary Statements:
Certain statements in this press release may contain statements concerning our future growth prospects that are individually and collectively forward-looking statements. Such forward-looking statements are not guarantees of future performance and are subject to known and unknown risks, uncertainties and assumptions that are difficult to predict. These risks and uncertainties include, but are not limited to, the performance of the Indian economy and of the economies of various international markets, the performance of the industry in India and world-wide, competition, the company’s ability to successfully implement its strategy, the Company’s future levels of growth and expansion, technological implementation, changes and advancements, changes in revenue, income or cash flows, the Company’s market preferences and its exposure to market risks, as well as other risks. The Company’s actual results, levels of activity, performance or achievements could differ materially and adversely from results expressed in or implied by this press release. The Company assumes no obligation to update any forward- looking information contained in this press release. Any forward-looking statements and projections made by third parties included in this press release are not adopted by the Company and the Company is not responsible for such third party statements and projections.

###

space

Other Related Press Releases