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Using AI to Optimize Pricing

In this contributed article, Sylvain Rougemaille PhD, Price Optimizer Product Manager, and Gabriel Smith, Chief Evangelist and Vice President of Innovation, at Pricefx, discuss how AI as applied to pricing must be transparent, defensible and pragmatic with proven ways to help sales win more business and increase deal size. It is also not a “one size fits all” problem, so the models must reflect the insight of the management team in order to be most effective.

“Above the Trend Line” – Your Industry Rumor Central for 7/29/2020

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Artificial Intelligence Startups Raised $61.6bn in Total Funding, a 35% Jump in a Year

As the algorithms and data-driven methods continue to develop, venture capitalists are becoming more interested to invest in artificial intelligence startups providing the most beneficial solutions. According to data gathered by BuyShares.co.nz, the total amount of funds AI startups raised over time reached $61.6bn in the second quarter of 2020, a 35% increase in a year.

How New Hardware Can Drastically Reduce the Power Consumption of Artificial Intelligence

In this contributed article, Diederik Verkest, Ph.D. from imec, points out that to make predictions, AI relies on the processing of large amounts of data, a process that takes a lot of energy. Imec develops solutions to drastically reduce that energy consumption. A new chip, in which these calculations are performed directly in the memory by means of analogue technology, is a major breakthrough in this field.

To Drive Revenue, Focus on Where your Data is Going

In this special guest feature, Christopher Caen, CEO at PixelTitan, discusses how companies have to realize the goal for understanding effective use of their corporate data is knowing not where it is created, but where it is going. In order to do this, executives have to move away from a mindset of “who” owns the data (where the data is) to “how it’s going to be utilized/consumed.

Research Highlights: Europe Lagging on AI Development; Samsung and IBM Lead in AI Patent Race

Award-winning OxFirst, a specialist in the law and economics of IP, has released research that reveals the hidden secrets behind global patent registrations and information on the economic value of patents in the AI sector. While Samsung, IBM and Tencent dominate with the highest number of patents filed, fierce competition between the US and China overshadows other countries, including the EU.

Video Highlights: Accelerating the ML Lifecycle with an Enterprise-Grade Feature Store

Our friend Mike Del Balso, the co-founder and CEO of Tecton who created the Uber Michelangelo machine learning platform, and customer Geoff Sims, a Principal Data Scientist at Atlassian, gave the talk below at the recent Spark + AI Summit.

How to Launch Your Data Science Career

Are you interested in getting into the field of data science? We don’t blame you. Data science is an exciting field that’s constantly changing and developing, which gives data scientists’ work endless potential. Here are six tips for ways that you can launch your data science career.

The Impact of Data Science On Customer Intelligence, Space Strategy and Supply Chain Optimization

In a new white paper recently released, “The Impact of Data Science On Customer Intelligence, Space Strategy and Supply Chain Optimization”, 84.51° explains how this innovative data science has become embedded- specifically in three of its missions: Customer Intelligence, Space Strategy and Supply Chain Optimization.

Top Five Data Privacy Issues that Artificial Intelligence and Machine Learning Startups Need to Know

In this special guest feature, Joseph E. Mutschelknaus, a director in Sterne Kessler’s Electronics Practice Group, addresses some of the top data privacy compliance issues that startups dealing with AI and ML applications face. lligence (AI) startups, data is king. Data is the key differentiator from competitors, and data is the fuel on which applications run. Yet, it is also subject an increasing array of regulations.