From a European perspective, Altair’s new deal with Belgian Collaboration Betters the World (CBTW) as a new channel partner for EMEA is of course interesting. The collaboration aims to accelerate the advancement of data analytics across the EMEA region, delivering cutting-edge solutions that enable businesses to thrive in today’s digital age.
The CBTW alliance can change a lot
”Combining Altair’s state-of-the-art technology with CBTW’s strategic expertise will deliver unparalleled value to customers, drive innovation and transform industries across the region,” said Kimon Afsaridis, CEO of Eastern Europe and VP of Indirect EMEA Sales, at Altair. ”This alliance underscores our commitment to delivering cutting-edge solutions and creating significant value for our customers.”
Paolo Vacilotto, head of data analytics and AI, at CBTW, added:
”We’re now able to integrate Altair’s leading technology with our strategic expertise in many industries and enable us to create significant value for customers across EMEA,” he said.
The collaboration between Altair and CBTW is expected to change the way companies use data analytics to drive growth and innovation. By harnessing the power of AI and advanced analytics, this partnership will enable organizations to unlock new insights, optimize operations and stay one step ahead of competitors in today’s fast-growing market.
Founded in 2014, CBTW is headquartered in Brussels, Belgium, but delivers technology and business solutions to clients worldwide. With more than 3,000 people in 21 countries, the company is active in the areas of strategy and governance, product design and growth, software engineering, data analytics and AI, cloud and enterprise platforms, cyber security, banking technology solutions, smart industrial solutions, life science solutions and more.
Crown Point accelerates deployment of RapidMiner in key markets
But as mentioned above, more has happened and here Crown Point Technologies is of great interest for the further spread of the RapidMiner platform. Specializing in technology solutions for the government and healthcare sectors, this company has been appointed as an official reseller for the US and Europe regions. This partnership will focus on bringing the capabilities of Altair RapidMiner data analytics and artificial intelligence (AI) to a wider range of customers. By adding Crown Point Technologies to its global ecosystem of channel partners, Altair aims to accelerate the adoption of Altair RapidMiner in key markets, leading to transformative outcomes for enterprises and government organizations alike.
”Get the students ready for reality”
As for the RapidMiner collaboration with the Faculty of Data and Decision Sciences at the Technion – Israel Institute of Technology, the agreement will provide the university’s faculty, researchers and students with training and unlimited access to the platform.
”Altair enables students to expand their skills and be ready for the real world with our best technology and support,” said Ariel Hadar, CEO of Altair Israel. “Collaborating with Technion faculty will foster greater synergies between academia and industry in Israel, combining the best skills from each respective domain to expand global AI knowledge.”
The purchase of KSK Analytics
Finally, a few words about the purchase of Japanese KSK Analytics. The company offers strategic advice and training in AI and data analysis, with a focus on the manufacturing sector. For more than a decade, KSK has been a reseller of the Altair RapidMiner platform for data analysis and AI.
”Altair has had a presence in Japan for nearly thirty years and this acquisition expands our reach and technical depth in data science to better serve the growing AI market in the Asia Pacific region,” commented James R. Scapa, founder and CEO of Altair. ”KSK’s best-in-class training program aligns with Altair’s Center of Excellence (COE) approach and provides an advantage over other vendors in the Japanese market.”
The education established by KSK empowers users – especially non-computer scientists – to confidently apply computer science methods to their everyday technology and business problems.
