MRT - The Trends & Technology Section of MrWeb

Big Data, Text / Data Mining and BI

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you'll find daily updates of DRNO news items relating to big data, data mining and BI; relevant cuttings of other news from around the Web; selected feature articles from our sponsor, other contributors and from other sites that have impressed us; and MR jobs with a focus in this area. Feedback always gratefully received!

Today's selection of cuttings and submissions (updated Thurs Nov 23 2017)

25 Data & Analytics Vendors at the Forefront in 2018 Read more

'Data analytics is slowly becoming entrenched in the enterprise. Most organizations are still doing descriptive analytics (historical reporting) and their use of analytics is function-specific. In 2018, more organizations will follow the leaders and increase their levels of sophistication, using predictive and prescriptive analytics to optimize their operations. In addition, more businesses will start interconnecting function-specific analytics to get new insights into customer journeys, risk profiles, and market opportunities'. Read it

Forrester's '10 Predictions For AI, Big Data, And Analytics in 2018' Read more

A report, Predictions 2018: The Honeymoon For AI Is Over, says enterprises in 2018 will finally move beyond the hype to recognize that AI requires hard work - planning, deploying, and governing it correctly. On the positive side, it sees 'better human and machine collaboration due to improved interfaces; enhancing business intelligence and analytics solutions by moving resources to the cloud; new AI capabilities facilitating the redesign of analytics and data management roles and activities and driving the emergence of the insights-as-a-service market'. Read it

The UKs competition watchdog wants to keep up with AI and big data Read more

The Competition and Markets Authority is building a new technology team in a bid to keep up with the use of AI, big data and algorithms. The CMAs new chief executive Andrea Coscelli, said the team would consist of data scientists, computer experts and economists. 'Some companies have a lot of internal knowledge that we dont necessarily have and a lot of [technological changes] are happening very fast', added Coscelli. Read it

RECENT FEATURES from around the industry...

'How brands can use big data without creeping people out' - a cautionary note from Frances Katz at news publication The Week. 'Having so much information about potential customers at their fingertips may actually be making advertisers lazy... Instead of over-relying on big data, brands should allow it to enhance their advertising, not drive it entirely' (published 13th Nov 2017)

Beyond the Black Box in Analytics and Cognitive - Author and Professor Thomas H Davenport on the need to interpret how *some* AI / machine learning tools arrive at their decisions

Understand the anomalies too - Avi Avital, VP Customer Success at Anodot on 'Business Intelligence 2.0'

ESOMAR Big Data 2016 - a review of the Berlin conference (published Nov 30th 2016)

In the News...

New York Times Launches Data Science Offering
The New York Times has launched a cross-functional team called nytDEMO, which will build data and technology solutions for brands using the same tools and skills used by the newspaper group. More.
LiveRamp Buys Pacific Data B2B Marketplace
In the US, Acxiom-owned customer data 'onboarding' specialist LiveRamp has acquired B2B data marketplace Pacific Data Partners for an undisclosed sum. More.
Merger for Sports Intell Firms MVPindex and Umbel
In the US sports and entertainment sector, social media intelligence platform MVPindex and fan engagement specialist Umbel have merged. The combined company promises to help clients measure the value and impact of digital spend, including sponsorships and social media campaigns. More.

View all related news items

Feature Archive / 2010-2011

Harnessing Hindsight - by Bryan Urbick of the Consumer Knowledge Centre.

Drowning in Data - by John Owen of QSR International.

Current Jobs in this Sector

Senior Research Analyst, San Francisco, CA, USA

Lead Data Scientist, Tampa Bay, FL, USA

Research Manager, Quant - Next Generation Digital Agency, Central London

Data Production Technician, London

Statistical Analyst, Bloomfield Hills, MI, USA

Director - Global Data Management Business, Hong Kong

Digital Lead, Canary Wharf, London

Senior Data Scientist, Woking (UK)