AI Squared Presents Sparx: Integrating Sales, Financial, and Operational Data
AI Squared, a company known for its work with large institutions in financial services, insurance, SaaS, and the US Department of Defense, has launched a new product aimed at making AI more accessible for smaller businesses, mid-market companies, and non-profits. The offering, called Sparx, is a Data-Science-In-a-Box solution designed to streamline the integration of AI into existing workflows and overcome the challenge of AI-ready data scarcity.
According to AI Squared's CEO, Darren Kimura, Sparx removes the complexity of building AI-powered insights, allowing businesses to see value in hours, not months. Kimura, who succeeded Dr. Benjamin Harvey as CEO earlier this year, has more than 25 years of experience in the technology industry and has been credited with helping shape AI Squared's operational growth and strategic direction.
Sparx connects to existing systems, automatically syncs and cleans the data, and has an intuitive interface for conversational English data communication. It provides real-time visibility into operations and contextual data to help teams identify trends and boost efficiency. The platform also offers actionable insights instantly without the need for IT experts or data scientists.
The lack of AI-ready data in smaller businesses and non-profits is a significant challenge that often leads to AI project failures. A survey by research firm Gartner predicts that 60% of AI projects through 2026 are expected to fail due to a lack of AI-ready data. Sparx specifically addresses this issue by automating data cleansing and synchronizing multiple data sources into a single unified platform, thereby overcoming the fragmentation and poor data quality that cause many AI projects to fail.
By removing technical and resource hurdles, Sparx makes AI insights accessible and actionable to organizations that previously found AI adoption prohibitively complex or costly. The platform unifies sales, finance, and operational data into a real-time, AI-powered view and deploys in less than an hour.
In summary, Sparx aims to democratize AI adoption for smaller entities by providing an easy-to-use, quick-to-deploy solution that ensures data is AI-ready, thereby reducing failure risks and unlocking AI’s value without the traditional burdens of development and infrastructure.
Dr. Benjamin Harvey will transition to a new role at AI Squared, focusing on positioning the company as a thought leader and bolstering customer engagement. Harvey, who has more than 25 years of experience in scaling technology companies, has played a crucial role in shaping AI Squared's vision and strategy. Kimura praised Harvey for his contributions and expressed enthusiasm about driving forward AI Squared's mission to make AI more accessible and impactful for organizations worldwide.
[1] AI Squared Press Release, "AI Squared Unveils Sparx, a Data-Science-In-a-Box Solution for Smaller Businesses and Non-Profits," 15 March 2023, https://aisquared.com/press-releases/ai-squared-unveils-sparx/
[2] Gartner, "Predicts 2023: AI Projects Will Fail Due to a Lack of AI-Ready Data," 12 January 2023, https://www.gartner.com/en/newsroom/press-releases/2023-01-12-gartner-predicts-2023-ai-projects-will-fail-due-to-a-lack-of-ai-ready-data
[3] AI Squared Blog, "Introducing Sparx: AI-Powered Insights for Smaller Businesses and Non-Profits," 15 March 2023, https://aisquared.com/blog/introducing-sparx-ai-powered-insights-for-smaller-businesses-and-non-profits/
- Sparx, the Data-Science-In-a-Box solution launched by AI Squared, is aimed at integrating AI technology into business workflows of smaller entities, thereby addressing the challenge of AI-ready data scarcity that is often prevalent in these sectors.
- The new offering by AI Squared, Sparx, targets businesses and non-profits in various sectors such as finance, business, and technology by providing an easy-to-use platform that democratizes AI adoption, reducing the risks of project failures due to data unreadiness.
