Explorium secures $19M funding to automate data science and machine learning-driven insights ZDNet


Machine learning is a powerful paradigm many organizations are utilizing to derive insights and add features to their applications, but using it requires skills, data, and effort. Explorium, a startup from Israel, has just announced $19 million of funding to lower the barrier on all of the above. The funding announced today comprises a seed round of $3.6 million led by Emerge with the participation of F2 Capital and a $15.5 million Series A led by Zeev Ventures with the involvement of the seed investors. Explorium was founded by Maor Shlomo, Or Tamir, and Omer Har, three Israeli tech entrepreneurs, who previously led large-scale data mining and optimization platforms for big data-based marketing leaders. "We are doing for machine learning data what search engines did for the web," said Explorium co-founder and CEO Maor Shlomo.

Using Analytics to Better Understand and Shape the Future of Retail


Retailers the world over are grappling with how to attract today's digitally savvy consumers and turn them in to repeat customers. Yet, I would argue that this is nowhere more keenly felt than in China. Chinese consumers are setting shopping trends globally, especially with their avid use of digital devices and social media. They are much more likely than American or European consumers to interact with brands through social media, according to BCG. Chinese consumers are fast becoming the world's most discriminating and knowledgeable.

Gong.io Raises $20 Million in Series A1 Funding to Transform Sales Conversations


SAN MATEO, California and TEL AVIV, Israel, July 12, 2017 -- Gong.io, the leading SaaS company in the fast-growing category of Conversation Intelligence for sales teams, today announced a $20 Million Series A1 round. The investment round was led by existing investors Norwest Venture Partners and CheckPoint Co-Founder Shlomo Kramer. They were joined by new investors Wing Venture Capital and NextWorld Capital. Peter Wagner, Founding Partner at Wing Venture Capital, and Ben Fu, General Partner at NextWorld Capital, will join as Board Observers. While managing some of the most successful hyper-growth start-ups, they realized that most companies don't understand why their sales teams aren't meeting their targets.

25 Machine Learning Startups To Watch In 2019


From powering personalized career sites that recommend open positions that are ideal for a given candidate based on their capabilities as eightfold.ai AI and machine learning have the potential to create an additional $2.6T in value by 2020 in Marketing and Sales, and up to $2T in manufacturing and supply chain planning according to the McKinsey Global Institute. Please see the latest roundup of machine learning forecasts and market estimates, 2019 for more market data on machine learnings' exponential growth. Alation - Alation offers a machine learning data catalog to help people find, understand, and trust data across their organizations. They've defined their solution to align with the needs of four dominant personas, including Chief Data Officers, Analysts, Stewards, and IT and Engineering. Their Data Catalog is known for its usability and intuitive design. More than 100 organizations, including the City of San Diego, eBay, Munich Re, and Pfizer, have adopted the Alation Data Catalog.

Dataiku raises $28m to enhance data science platform and double staff


Dataiku has announced raising $28 million in a Series B round led by Battery Ventures, with participation from FirstMark, Serena Capital, and Alven. The Series B round brings the total amount raised by the New York City-headquartered data science software company to approximately $45 million. Dataiku said the funding will be allocated across three areas: Development, marketing, and recruitment. It plans to double its headcount to 200 employees across its offices in London, New York City, and Paris over the coming months, and add connectors to deep learning frameworks to its platform. Founded in France in 2014, Dataiku offers a "collaborative" platform, called Data Science Studio (DSS), with connectors to data sources, visual data preparation, and prepackaged machine-learning algorithms.