Here’s another set of 2024 Predictions. These ones are from Nima Negahban, CEO and Cofounder, Kinetica.
Generative AI turns its focus towards structured, enterprise data: “Businesses will embrace the use of generative AI for extracting insights from structured numeric data, enhancing generative AI’s conventional applications in producing original content from images, video, text and audio. Generative AI will persist in automating data analysis, streamlining the rapid identification of patterns, anomalies, and trends, particularly in sensor and machine data use cases. This automation will bolster predictive analytics, enabling businesses to proactively respond to changing conditions, optimizing operations, and improving customer experiences.”
English will replace SQL as the lingua-franca of business analysts: “We can anticipate a significant mainstream adoption of language-to-SQL technology, following successful efforts to address its accuracy, performance, and security concerns. Moreover, LLMs for language-to-SQL will move in-database to protect sensitive data when utilizing these LLMs, addressing one of the primary concerns surrounding data privacy and security. The maturation of language-to-SQL technology will open doors to a broader audience, democratizing access to data and database management tools, and furthering the integration of natural language processing into everyday data-related tasks.”
Location-enriched time-series data will outpace conventional time-series data. “Location-enriched time-series data will outpace conventional time-series data in automotive, telco and logistics industries. The widespread deployment of GPS devices, location-aware chips, and advanced satellite constellations will fuel this shift. Organizations will begin to adapt their data architectures to harness the full potential of location-based sensor data, marking a pivotal transformation in these sectors.”
Kinetica Serves Up Their 2024 Prediction
Posted in Commentary with tags Kinetica on December 17, 2023 by itnerdHere’s another set of 2024 Predictions. These ones are from Nima Negahban, CEO and Cofounder, Kinetica.
Generative AI turns its focus towards structured, enterprise data: “Businesses will embrace the use of generative AI for extracting insights from structured numeric data, enhancing generative AI’s conventional applications in producing original content from images, video, text and audio. Generative AI will persist in automating data analysis, streamlining the rapid identification of patterns, anomalies, and trends, particularly in sensor and machine data use cases. This automation will bolster predictive analytics, enabling businesses to proactively respond to changing conditions, optimizing operations, and improving customer experiences.”
English will replace SQL as the lingua-franca of business analysts: “We can anticipate a significant mainstream adoption of language-to-SQL technology, following successful efforts to address its accuracy, performance, and security concerns. Moreover, LLMs for language-to-SQL will move in-database to protect sensitive data when utilizing these LLMs, addressing one of the primary concerns surrounding data privacy and security. The maturation of language-to-SQL technology will open doors to a broader audience, democratizing access to data and database management tools, and furthering the integration of natural language processing into everyday data-related tasks.”
Location-enriched time-series data will outpace conventional time-series data. “Location-enriched time-series data will outpace conventional time-series data in automotive, telco and logistics industries. The widespread deployment of GPS devices, location-aware chips, and advanced satellite constellations will fuel this shift. Organizations will begin to adapt their data architectures to harness the full potential of location-based sensor data, marking a pivotal transformation in these sectors.”
Leave a comment »