Tencent Cloud, the rapidly growing Chinese public cloud and gaming platform, has announced that it will adopt the NVIDIA Tesla GPU accelerators within its public cloud platform. Tencent’s adoption of NVIDIA Tesla GPU accelerators expands its artificial intelligence and machine learning capabilities for its customer-base and subsequently strengthens its ability to support the growing contemporary proliferation of artificial intelligence, machine learning and neural network-based applications. Specifically, the Tencent Cloud will support the availability of NVIDIA Tesla GPU accelerators including the Tesla P100 and P40 GPU accelerators that feature NVIDIA’s Pascal-based architecture and NVIDIA’s NVLINK technology for connecting several GPUs with NVIDIA deep learning software. Tencent Cloud’s ability to support Tesla’s P100 and P40 GPU accelerators means that customers now have access to some of NVIDIA’s most powerful hardware for artificial intelligence and deep learning use cases that can empower data scientists to reduce the learning time required for artificially intelligent algorithms and support data intensive workloads.
In December, the Tencent Cloud launched cloud servers based on Tesla M40 GPUs. As of this week’s announcement, customers can expect the availability of cloud servers that support Tesla P100, P40 and M40 GPU accelerators to serve the artificial intelligence needs of customers that include cloud service providers, startups, research organizations and enterprises. Tencent’s announcement of its expanded support for NVIDIA GPU accelerators means that NVIDIA GPUs are now used on a roster of cloud platforms that include Google, Amazon, Microsoft and IBM Softlayer. Importantly, Tencent’s support for NVIDIA bolsters the latter’s positioning in the microprocessor space in the face of increased competition from AMD and its recently released line of Ryzen chips that have been instrumental to the meteoric rise of AMD’s share price. As a result, NVIDIA continues to strengthen its leadership space in the landscape of hardware dedicated to artificial intelligence by demonstrating continued success in seeding cloud platforms with its artificial intelligence and deep learning technology. NVIDIA’s collaboration with Tencent is particularly notable because it expands NVIDIA’s access to customers in China and East Asia, more generally, thereby giving it an invaluable leadership position in the rapidly growing market for artificial intelligence computing in China and the Asian Pacific Rim.
On October 21, Aviso announced the release of the Aviso Virtual Sales War Room, a platform that delivers granular sales analytics to help sales leaders achieve their goals. The Aviso Virtual Sales Warm Room leverages a combination of machine learning and advanced analytics to develop scenarios for executing sales campaigns that are updated in real-time in conjunction with contemporary updates to sales prospects. The platform features the ability for sales professionals to update the status of sales deals as they progress, scenario modeling functionality to assess the impact of updates to the status of deals, real-time notification capabilities to allow sales teams to effectively collaborate throughout the sales process and data about deals that are in the process of concurrent negotiations. Aviso’s technology brings the power of predictive analytics to forecast which deals will close, when and under what terms, and subsequently refines those algorithms using machine learning technology that iteratively understands the rhythms of each sales team and their style of closing deals. The platform’s proprietary analytics based on CRM data, emails and calendar appointments, market data and social media delivers a degree of analytic sophistication to decisions about sales operations that help sales leaders reach their targets and make the best decisions for their portfolio of prospects. As such, the Aviso Virtual Sales War Room promises to disrupt the operational process of sales execution by harnessing the power of advanced analytics and machine learning to improve sales performance.
Big data analytics food startup Hampton Creek has raised $90M in Series C funding in a round led by Horizons Ventures and Khosla Ventures with additional participation from Facebook co-founder Eduardo Saverin. Salesforce.com founder and CEO Marc Benioff and other private investors. Hampton Creek uses advanced analytics to identify plants that enable the production of egg-free food products that contain fewer artificial ingredients, taste better and are healthier than their competitors. The funds will be used to advance its research and development efforts and accelerate the distribution of its products in collaboration with other major food vendors. In particular, Hampton Creek intends to use the funding to expand its market presence in Asia by distributing an eggless scrambled egg product that responds to consumer and watchdog concerns about the lack of sanitary conditions in which eggs are harvested in Asia. To date, Hampton Creek’s products include Just Mayo and Just Cookies. The company intends to release Just Pasta and Just Scrambled in 2015. Meanwhile, on Thursday, multi-billion dollar food conglomerate Unilever recently dropped its October lawsuit against Hampton Creek that claimed Hampton Creek’s Just Mayo, eggless mayonnaise product is not mayonnaise because it lacks eggs. In dropping its lawsuit, Unilver backpedaled and praised “Hampton Creek’s commitment to innovation and its inspired corporate purpose,” while noting the sharing of “a vision with Hampton Creek of a more sustainable world.” Hampton Creek has now raised a total of $120M that includes $23M in Series B funding from earlier this year.
RapidMiner today announces the release of RapidMiner Streams, an application that leverages the power of Apache Storm to enable analytics on real-time streaming data. By integrating RapidMiner’s predictive analytics technology with Apache Storm, RapidMiner Streams enables real-time updates to RapidMiner’s advanced analytics in collaboration with incoming, streaming data that dictate iterative modifications to existing algorithms. The release of RapidMiner Streams means that the RapidMiner platform can now perform advanced analytics on streaming data with low latency, high throughput and enhanced computational performance. The integration of Apache Storm with RapidMiner adds to the over 1500 RapidMiner operators and subsequently enhances the platform’s ability to perform real-time predictive analytics. Use cases for RapidMiner’s analytics include analysis of free text customer feedback delivered online, data mining of millions of image files and analytics on wearable devices that prescribe users with an optimal exercise regimen to achieve their fitness goals based on historical data. RapidMiner’s analytics are enabled by way of a graphical user interface that allows analysts to combine operators for the ingestion, analysis and visualization of one or more datasets. Today’s announcement of the release of RapidMiner Streams and its concomitant integration with Apache Storm vaults the RapidMiner platform to tackle data from the internet of things and embrace use cases featuring massive volumes of streaming real-time data. As the universe of use cases that RapidMiner can handle proliferates, users should expect corresponding enhancements of the platform as customers enrich the product with feedback specific to data about their product and vertical.