Machine learning and the power of big data can help achieve stronger investment decisions

Sarah Ryerson, President of TMX Datalinx, is certain we don’t need to worry about that. And it’s safe to say we can trust her opinion with data being her specialty, as well as having spent five years at Google before joining TMX.She applies her experience on Bay Street by helping traders, investors and analysts mine the daily avalanche of data that pours out of TMX every day.If information is power what will we be doing with data in the future? Ryerson has the answer, explaining that we will be mining data for patterns and signals that will help us draw new insights and allow us to make better investment decisions.Ryerson is bringing real-time, historical and alternative data together for TMX clients. It’s all about picking up the signals and patterns that the combined data set that will deliver.She also affirms that she is aiming to make this information more accessible. This will be done through platforms where investors can do their own analysis via easy-to-use distribution channels where they can get the data they want through customized queries. Ryerson notes, “Machine learning came into its own because we now have the computing power and available data for that ‘iterate and learn’ opportunity.”
Ryerson knows that for savvy investors to get ahead of algorithms, machine learning or artificial intelligence (AI), they need more than buy-and-sell data. This could be weather data, pricing data, sentiment data from social media or alternative data. “When you combine techniques to the vast amounts of data we have that’s where we can derive new insights from combinations of data we haven’t been able to analyze before.One of the most important elements of AI that data scientists realize is that algorithms can’t be black boxes. The analysts and investors using them need transparency to understand why an algorithm is advising to buy, sell or hold.

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Airbyte Racks Up Awards from InfoWorld, BigDATAwire, Built In; Builds Largest and Fastest-Growing User Community

Airbyte | January 30, 2024

Airbyte, creators of the leading open-source data movement infrastructure, today announced a series of accomplishments and awards reinforcing its standing as the largest and fastest-growing data movement community. With a focus on innovation, community engagement, and performance enhancement, Airbyte continues to revolutionize the way data is handled and processed across industries. “Airbyte proudly stands as the front-runner in the data movement landscape with the largest community of more than 5,000 daily users and over 125,000 deployments, with monthly data synchronizations of over 2 petabytes,” said Michel Tricot, co-founder and CEO, Airbyte. “This unparalleled growth is a testament to Airbyte's widespread adoption by users and the trust placed in its capabilities.” The Airbyte community has more than 800 code contributors and 12,000 stars on GitHub. Recently, the company held its second annual virtual conference called move(data), which attracted over 5,000 attendees. Airbyte was named an InfoWorld Technology of the Year Award finalist: Data Management – Integration (in October) for cutting-edge products that are changing how IT organizations work and how companies do business. And, at the start of this year, was named to the Built In 2024 Best Places To Work Award in San Francisco – Best Startups to Work For, recognizing the company's commitment to fostering a positive work environment, remote and flexible work opportunities, and programs for diversity, equity, and inclusion. Today, the company received the BigDATAwire Readers/Editors Choice Award – Big Data and AI Startup, which recognizes companies and products that have made a difference. Other key milestones in 2023 include the following. Availability of more than 350 data connectors, making Airbyte the platform with the most connectors in the industry. The company aims to increase that to 500 high-quality connectors supported by the end of this year. More than 2,000 custom connectors were created with the Airbyte No-Code Connector Builder, which enables data connectors to be made in minutes. Significant performance improvement with database replication speed increased by 10 times to support larger datasets. Added support for five vector databases, in addition to unstructured data sources, as the first company to build a bridge between data movement platforms and artificial intelligence (AI). Looking ahead, Airbyte will introduce data lakehouse destinations, as well as a new Publish feature to push data to API destinations. About Airbyte Airbyte is the open-source data movement infrastructure leader running in the safety of your cloud and syncing data from applications, APIs, and databases to data warehouses, lakes, and other destinations. Airbyte offers four products: Airbyte Open Source, Airbyte Self-Managed, Airbyte Cloud, and Powered by Airbyte. Airbyte was co-founded by Michel Tricot (former director of engineering and head of integrations at Liveramp and RideOS) and John Lafleur (serial entrepreneur of dev tools and B2B). The company is headquartered in San Francisco with a distributed team around the world. To learn more, visit airbyte.com.

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