
Sign up to save your podcasts
Or
Welcome to another episode of "Data Driven," where we dive into the ever-evolving world of data science, AI, and data engineering. Today's special guest is Inna Tokarev Sela, CEO and founder of Illumix. Join hosts Frank La Vigne, BAILeY, and Andy Leonard as they unpack Inna's groundbreaking insights into generative AI, the future of data management, and the intricacies of AI cost effectiveness.
Inna reveals the origin of her company's name, "Illumix," and discusses the pressing risks of 2025, particularly the total cost of ownership for managing generative AI. She highlights the inefficiencies of data customization and proposes a shift towards moving AI closer to the data to reduce costs. Through the unique lens of Illumix’s approach, Inna explains how they aim to illuminate organizational data by using a virtual semantic knowledge graph based on industry ontologies and business logic.
00:00 Ina Tokarav Sala: CEO of Illumix, AI readiness pioneer.
05:57 ROI and data are crucial for decisions.
08:56 Intermediate stage: copilots, insights, static dashboards persist.
11:12 Illumax targets structured data market, unlike others.
14:29 Bad data skews predictive analytics, causing errors.
19:48 Data modeling efficiency increases with virtual assistants.
22:33 E-commerce evolution: convenient online shopping preferred.
25:27 2025's biggest risk: High generative AI costs.
27:07 Focus on domain knowledge and metadata utilization.
31:44 Predicting patterns is profound, not crazy.
36:09 Industry trends are cyclical, like fashion trends.
37:49 Repatriating data due to AI cost efficiency.
40:47 Data processing everywhere raises security concerns.
45:00 Founder freedom: Experimentation unlike SAP's structure.
49:11 I'm considered controversial for being very visionary.
52:29 Truth's evolution parallels past technological shifts.
54:39 Frank's World: Kids show on recycling, BBC.
57:09 Thank you, Ina Tokarev Saleh, for insights.
4.8
4444 ratings
Welcome to another episode of "Data Driven," where we dive into the ever-evolving world of data science, AI, and data engineering. Today's special guest is Inna Tokarev Sela, CEO and founder of Illumix. Join hosts Frank La Vigne, BAILeY, and Andy Leonard as they unpack Inna's groundbreaking insights into generative AI, the future of data management, and the intricacies of AI cost effectiveness.
Inna reveals the origin of her company's name, "Illumix," and discusses the pressing risks of 2025, particularly the total cost of ownership for managing generative AI. She highlights the inefficiencies of data customization and proposes a shift towards moving AI closer to the data to reduce costs. Through the unique lens of Illumix’s approach, Inna explains how they aim to illuminate organizational data by using a virtual semantic knowledge graph based on industry ontologies and business logic.
00:00 Ina Tokarav Sala: CEO of Illumix, AI readiness pioneer.
05:57 ROI and data are crucial for decisions.
08:56 Intermediate stage: copilots, insights, static dashboards persist.
11:12 Illumax targets structured data market, unlike others.
14:29 Bad data skews predictive analytics, causing errors.
19:48 Data modeling efficiency increases with virtual assistants.
22:33 E-commerce evolution: convenient online shopping preferred.
25:27 2025's biggest risk: High generative AI costs.
27:07 Focus on domain knowledge and metadata utilization.
31:44 Predicting patterns is profound, not crazy.
36:09 Industry trends are cyclical, like fashion trends.
37:49 Repatriating data due to AI cost efficiency.
40:47 Data processing everywhere raises security concerns.
45:00 Founder freedom: Experimentation unlike SAP's structure.
49:11 I'm considered controversial for being very visionary.
52:29 Truth's evolution parallels past technological shifts.
54:39 Frank's World: Kids show on recycling, BBC.
57:09 Thank you, Ina Tokarev Saleh, for insights.
475 Listeners
580 Listeners
624 Listeners
439 Listeners
203 Listeners
295 Listeners
214 Listeners
312 Listeners
69 Listeners
266 Listeners
196 Listeners
99 Listeners
36 Listeners
397 Listeners
79 Listeners