In AI-Tech Park’s commitment to uncovering the path toward realizing enterprise AI, we recently sat down with Chris Lynch, an esteemed figure in the industry and accomplished Executive Chairman and CEO of AtScale. With a remarkable track record of raising over $150 million in capital and delivering more than $7 billion in returns to investors, Chris possesses invaluable knowledge about what it takes to achieve remarkable results in the fields of AI, data, and cybersecurity.
Please give us a brief overview of AtScale and its origin story. What makes AtScale stand apart from its competitors?
AtScale was founded in 2013 as a highly scalable alternative to traditional OLAP analytics technologies like Microsoft SSAS, Business Objects, Microstrategy, or SAP BW. However, our true breakthrough came with the enterprise’s shifting data infrastructure to modern cloud data platforms. AtScale uniquely lets analytics teams deliver “speed of thought” access to key business metrics while fully leveraging the power of modern, elastic cloud data platforms. Further, what sets AtScale apart is its highly flexible semantic layer. This layer serves as a centralized hub for governance and management, empowering organizations to maintain control while avoiding overly constraining decentralized analytics work groups.
How do AtScale’s progressive products and solutions further the growth of its clients?
AtScale offers the industry’s only universal semantic layer, allowing our clients to effectively manage all the data that is important and relevant for making critical business decisions within the enterprise. This is so they can drive mission-critical processes off of what matters the most – the data!
To achieve this, AtScale provides a suite of products that enable our end clients to harness the power of their enterprise data to fuel both business intelligence (BI) and artificial intelligence (AI) workloads. We simplify the process of building a logical view of the most significant data by seamlessly connecting to commonly used consumption tools like PowerBI, Tableau, and Excel and cloud data warehouses like Google BigQuery, Databricks, and Snowflake.
What potential do you think AI and ML hold to transform SMEs and large enterprises? How can companies leverage these modern technologies and streamline their processes?
AI and ML are going to have a profound impact on how we live, conduct our day-to-day business, and shape the global economy. It is imperative for every organization to leverage AI to streamline their operations and processes, improve their costs, and more importantly build and sustain competitive differentiation in the market. But without proper data, AI becomes inefficient and uneventful. The power of those AI models and their predictions rests in the organizational data and needs a universal semantic layer to create AI-ready data.
To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-chris-lynch/
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