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4 Trends that are Upending the Analyst World

Data science company, Dataiku, has published a free whitepaper “The Analyst of the Future” outlining the sweeping changes that will affect the analyst industry and how everyone can prepare. 4 trends that are upending the analyst world as itemized in the report are provided below. No one needs to be reminded that the data world – and everything it touches, which is, basically, everything – is changing rapidly. For analysts, there four major trends that are driving the opportunities that will fuel their career adventure over these next few years. At the heart of these trends is a massive wave of data being generated and collected by organizations worldwide.

Applying AI Technology to Reduce AML Risk for Global Financial Institutions

QuantaVerse published a new paper that examines how financial institutions can apply AI and machine learning technologies into their anti-money laundering (AML) ecosystems. For financial institutions, the time is now to deploy AI into their AML ecosystems. AI and machine learning hold the key to reducing risk related to financial crimes, addressing regulation, driving out operational cost through improved efficiency and, most importantly, effectively preventing criminals and terrorists from using the banking industry for their evil agendas.

Data 2020: State of Big Data Study

Our friends over at SAP recently published a study that highlights some really compelling findings around data scientists. There’s a wide gap and serious discrepancy in the level of importance organizations place on data scientists and the number of data scientists they employ. Below are some key statistics from the study, along with a summary infographic.

Research Report Finds 64 Percent of IT Decision Makers Expect ROI from Artificial Intelligence within Two Years

Cylance® Inc., an antivirus industry company with AI-powered prevention that blocks everyday malware along with today’s most advanced cyberthreats, has announced the results of its inaugural report, Artificial Intelligence in the Enterprise: The AI Race is On.

State of Artificial Intelligence for the Enterprise

A survey conducted in July 2017 by Vanson Bourne, the Teradata “State of Artificial Intelligence for Enterprises” report captures the here and now for AI — how executive decision-makers are investing in AI today, the expected return on investment (ROI), what barriers lie ahead and how businesses craft a solid game plan to realize AI’s full potential.

Probing the Wisdom of Apple, Inc., Crowds Using Alternative Data Sources

In this contributed article, Anasse Bari, clinical assistant professor of computer science at New York University, and software engineer Lihao Liu, provide a detailed look at the competitive analysis they performed for four major smartphone contenders: iPhone X and 8, Samsung Galaxy Note 8, Nokia 8 and Google Pixel 2 using alternative data sources.

2017 Data Connectivity Outlook

Our friends over at Progress revealed some new findings from their 2017 Data Connectivity Outlook global survey. In the 4th annual survey based on responses from 1,200 business and IT professionals around the world, the results validate the explosive growth seen in SaaS data sources and the common challenges faced when trying to connect to data in a hybrid environment.

‘Learning Database’ Speeds Queries from Hours to Seconds

University of Michigan researchers developed software called Verdict that enables existing databases to learn from each query a user submits, finding accurate answers without trawling through the same data again and again. Verdict allows databases to deliver answers more than 200 times faster while maintaining 99 percent accuracy. In a research environment, that could mean getting answers in seconds instead of hours or days.

Artificial Intelligence in the Real World – the business case takes shape

Artificial Intelligence in the Real World: The business case takes shape is a report from The Economist Intelligence Unit (EIU) sponsored by Wipro Limited. It draws upon a survey conducted in the second half of 2016 of 203 executives around the globe. The purpose of the study has been to gauge corporate attitudes toward AI in different regions and different industries. Based on a global survey of 203 senior executives, it finds that, especially in North America, companies in health and life sciences, in retail, in manufacturing and in financial services are actively testing the waters.

UMass Amherst Computer Scientists Develop New Techniques to Measure Social Bias in Software

Today, banks are increasingly using software to decide who will get a loan, courts to judge who should be denied bail, and hospitals to choose treatments for patients. These uses of software make it critical that the software does not discriminate against groups or individuals, say computer science researchers at the University of Massachusetts Amherst. […]