Ali Azhar is a journalist who specializes in covering the latest developments in the field of artificial intelligence (AI) and big data. With a focus on technology and its impact on various industries, Ali's work has been featured in publications such as BigDATAwire and AIwire, as well as on news channels like WRBL News 3, KXAN, and WPRI Connects. He provides insights into the advancements and applications of AI, keeping readers informed about the latest trends and innovations in the field.
Preston is the artificial intelligence that powers the Intelligent Relations PR platform. Meet Preston
Ali Azhar's coverage shows a strong focus on AI, data & analytics, and software & SaaS. He often cites data and reports heavily on private sector announcements. Given his emphasis on these areas, he would be most responsive to pitches offering insights into the latest trends in artificial intelligence, especially those related to enterprise challenges and applications in healthcare or consumer behavior.
For Ali's coverage area of AI-driven shopping and AI-powered clinical assessment, potential sources could include experts from companies specializing in these fields or researchers leading innovative projects that align with the topics covered.
Given the absence of specific geographic focus for Ali Azhar's articles, pitches should emphasize global relevance rather than any particular regional angle.
This information evolves through artificial intelligence and human feedback. Improve this profile .
By: Ali Azhar
With its vast user base and the numerous interactions that occur daily, LinkedIn generates an enormous amount of data every day. The billions of data points fuel various applications, from rankings to search. The addition of AI features has added further complexity to the platform.
By: Ali Azhar
Confluent, the data streaming pioneer, announced last month the general availability of Confluent Cloud for Apache Flink, enabling users to experience Apache Kafka and Flink as a unified, enterprise-grade platform.
By: Ali Azhar
by Ali Azhar As artificial intelligence continues to revolutionize various industries, organizations are exploring new ways to tap into the transformative potential of AI technologies.
By: Ali Azhar
In the era where organizations are looking to accelerate their migration to cloud infrastructure, a new technology advancement for cloud-native workloads has emerged – hybrid scanning.
By: Ali Azhar
Last year in December, Databricks, a leading provider of data intelligence and AI solutions, announced a new suite of tools to get GenAI applications to production using Retrieval Augmented Generation (RAG). Since then, we have witnessed a rapid rise in RAG applications as enterprises are investing heavily in building GenAI applications.
Data engineering often requires the utilization of SQL scripting for data transformation within the database. However, this can result in lengthy scripts, recurring copy-paste patterns, the need for schema changes across data pipelines, and potential data loss due to SQL joins.
by Ali Azhar Google DeepMind, an Alphabet subsidiary focusing on AI, ML, and neuroscience research, has unveiled an improved version of its
by Ali Azhar NVIDIA, the world leader in accelerated computing, is driving a fundamental shift in the high-performance computer (HPC) industry.
The rapidly growing scale of data has led to the emergence of data lakes, which offer a centralized repository for the storage of structured and unstructured data at any scale. Data lakes architecture often separates computing and storage to enable scalability and flexibility in handling large volumes of data.
Rockset Inc., a real-time analytics database platform, has announced native support for hybrid search incorporating text search, vector search, and metadata filtering into a single query.
(833) 317-6278 
