CltS, hyperscale datacenter provider, was awarded the prestigious Golden Peacock Award for Eco-Innovation to became the World’s first datacenter to be awarded in the category. The jury selected CtrlS Datacenters, after having evaluated 234 firms on innovation, environment, health and safety, energy conservation, and impact on climate change. Instituted in 1991 by the Institute of Directors, India, the award is globally regarded as a Corporate Excellence benchmark.
Category: Big Data (page 2 of 5)
A PMI, South Asia’s Playbook for Project Management in Data Science and AI Projects, the report said that 88 % of the firms have gaps in AI project management practices. The survey of 300 firms said that the failure rate of big data projects was a whopping 55 % and going by that rate firms will collectively waste $54 bn in 2023 and at least $11 bn of this amount can be directly attributed to poor AI project management practices.
Google’s new website called ‘Travel Insights with Google’ offers insights into tourism demand trends, booking trends, etc. The travel industry can analyse demand and leverage insights to boost businesses. Based on user search data, the website offers time-specific trends such as Destination Insights, revealing the top sources of demand for a destination and destinations within countries. Hotel Insights gives information on the properties of small and independent hotels.
Minister for IT and deputy CM, UP Dinesh Sharma said a new dedicated data centre policy was on the cards for the state to develop a 250 MW (IT power) data centre industry to attract an investment of Rs 20,000 cr. He said that more than 3,300 start-ups are operational in UP and a fund of Rs 1,000 cr has been set up by the govt with help from SIDBI. The state government will also set up IT parks in all 18 divisions of the state to promote IT and attract investment.
BMW has developed a data hub with Amazon’s cloud computing division with the aim to use “big data” to boost efficiency. Data from BMW’s new hub, during the pandemic, enabled it to see which supplier plants had problems. BMW and AWS have been working together since 2015 and have spent 1.5 years to develop the data hub. Over 5,000 BMW employees will be trained to use AWS tech to make better use of data. The hub will use AI and ML to predict consumer demand.
Nxtra Data Limited, a Bharti Airtel company, has signed an MOU with Maharastra govt to set up two new data centre campuses in Mumbai and Pune. Nxtra already has two large data centres in Maharashtra, in addition to Edge data centres spreading across the state. Nxtra’s portfolio includes 10 large data centres, and 120 edge data centres providing customers. The Carlyle Group, recently, has acquired 25% stake in Nxtra for $ 235 mn valuing the company at $1.2 bn.
Ferns N Petals has built a Customer Data Platform to make smart business decisions. FNP, with the help of a consulting firm, built the data engineering, data science and data pipeline. CDP, built on AWS data cloud, uses big data tools for processing, structuring of data. FNP has also implemented a Cloud data platform to use and house data from internal sources. Now the conversion of marketing campaigns, using CDP analytics, have gone up to 7-8 % from 4.5-5 %.
China is building world’s highest-altitude cloud computing data centre in Tibet’s capital Lhasa to meet the storage needs of country, Nepal, Bangladesh and Pakistan. The data centre, costing over $1.80B, will be located at an altitude of around 3,656 mt above the sea level. The project, to be operational in 2021, will provide services such as video rendering, autonomous driving, distance-learning data backup, etc and will be operated by the Ningsuan Technology Group.
1) Smarter, faster, more responsible AI 2) Decline of the dashboard 3) Analysts for practicing decision intelligence, including decision modeling 4) X analytics 5) Metadata is the new black 6) Cloud is a given 7) Data and analytics worlds collide 8) Soon organisations will be either selling or buying data via online marketplaces, 9) Practical blockchain (for data and analytics) 10) Need to efficiently relate multiple data sets — people, places, things or locations.