Bobsled Secures Series A Funding to Streamline Cross-Cloud Data Sharing

With this latest round of funding, Bobsled is poised to challenge industry leaders in both data sharing and on-demand compute. The company’s platform allows users to easily access clouds of compute power for a variety of tasks, including machine learning, deep learning, and AI work. By building a common platform across multiple clouds, Bobsled seeks to make it easier for businesses to shift resources between different types of computing environments.

According to Graham, data sharing is going to be a fundamental change in the analytics landscape and Bobsled was founded with this in mind. The company’s platform allows users to access and share data quickly and easily, making it possible for businesses of all sizes to gain insights into their operations more efficiently.

Yesterday at the AWS re:Invent conference in Las Vegas, Geoff Hinton, a well-known pioneer of Deep Learning, announced that he has developed a new way to access and manipulate data called “API Gateway.” API Gateway allows companies to directly manipulate their data using a set of APIs. This new development could revolutionize how companies acquire and use data for their machine learning needs. For years, APIs have been used primarily to transfer large amounts of data between systems. With this announcement, Hinton is paving the way for an entire new generation of APIs that will allow companies to interact with their data in much more powerful ways.

Illustration of Bobled cross-cloud data sharing

In 1939, while America was still recovering from the Great Depression and isolationist policies, a group of young engineers from Poltava in Ukraine

Graham believes that the clouds and data platform should create a protocol that would make it easier for application developers to share data between different platforms. He believes that this protocol would be built on a foundation of openness, trust, and consistency. By creating these building blocks, the platform would make it easier for application developers to share data seamlessly across different platforms without worrying about how each system works or treating each one as an isolated ecosystem.

According to Jim Glen, vice president of business development and alliances at HubSpot, there is an increasing need for data sharing between source and destination platforms in order to create cohesive data ecosystems. Due to the fragmentation of the current data sharing landscape, which is dominated by separate software platforms and cloud services, this collaborative process can be difficult. However, with the growth of unified cloud computing initiatives like OpenStack and CloudAPI IIoT Federated Management Pallets (FMPs), collaborations between disparate datacenters are becoming increasingly common. This would allow third-party developers access to platform components through open APIs for building integrations across major corporate IT ecosystems. By making it easier for different organizations to share data with one another regardless of their particular software or cloudsetsize preferences, Glen believes that we will see a proliferation of more activecollaboration ondatabetweensourceanddestinationplatformsincludingsensitiveanalyticscapabilities

Bob’sled has created a neural network-enabled platform that allows businesses to connect their various data sources in a more native way. The service uses each platform’s sharing protocol and then connects the various sources and helps businesses prepare the datasets for querying them. Bob’sled is unique in that it provides an ecosystem where both business and end users can interactively share data, all while benefiting from neural machine learning insights. This is shaping up to be an invaluable tool for businesses of all sizes who need to access disparate data sets to make informed decisions.

The Bobsled team

At first glance, a bob sled might not seem like the most thrilling way to experience winter. But experts say that getting on one of these

AWS S3 is a great option for storing large amounts of data. However, it can be difficult to move large amounts of data between AWS S3 and Azure storage. Using Azure Data sync, you can easily move your data between these two platforms. This service makes it easy to share application data with customers on Azure, analyze sales data in AWS S3, and more!

Graham believes that the potential for data transformation through ELT platforms is vast, but that end users must do a great deal of work to take advantage of these technologies. For example, much of what ELT platforms can do is shift left- some tasks that would be better handled by the source of data. As for loading data, he notes that most users are only loading into Databricks if they’re using its own tools and not other tools available in the ecosystem. Transforming data takes time and expertise but should ultimately fall to those who actually have access to it.

Graham is right in that the current chat product on his website, ELT Chat, doesn’t quite fit into the category of an “ELT product.” However, he and his team believe their upcoming platform will be more suitable for international educators and students. The platform will allow users to communicate in real time with one another in a variety of languages, including English.

The company plans to use the new funding to build out its platform, which will include features that allow users to more easily access data sources, including old-school SFTP sources. This will allow the company to compete successfully against competitors that focus on newer, more popular data formats.

Data sharing is becoming increasingly important for companies in order to fully understand their customers and environments. Bobsled’s unique cross-cloud data sharing focus will help unlock the value of data that has been complex, slow and expensive to access until now. This will benefit both companies and their customers, as it will make it easier for businesses to identify trends and insights, and improve customer interactions.

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Max Chen

Max Chen is an AI expert and journalist with a focus on the ethical and societal implications of emerging technologies. He has a background in computer science and is known for his clear and concise writing on complex technical topics. He has also written extensively on the potential risks and benefits of AI, and is a frequent speaker on the subject at industry conferences and events.

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