Monthly Archives: January 2023

C3 AI Announces Launch of C3 Generative AI Product Suite

C3 AI (NYSE: AI), the Enterprise AI application software company, today announced the launch of the C3 Generative AI Product Suite with the release of its first product — C3 Generative AI for Enterprise Search.



Conversica Survey Shows Chatbot Customer Experience Significantly Impacts Vendor Evaluation for One-Third of B2B Buyers

Conversica, Inc., a leading provider of AI-powered conversation automation solutions for enterprise revenue teams, announced the findings of a new survey titled Chatbot Experience: How Satisfied Are Enterprise Buyers? The study found that while the majority of B2B buyers use chatbots when considering a business purchase (60%), the chat experience does not meet their expectations.



Why AutoML Isn’t Enough to Democratize Data Science 

In this contributed article, Noam Brezis, co-founder and CTO of Pecan AI, explores that because AutoML was born out of academia, in its current incarnation it is only built to simplify the model building process. This is likely the reason why existing AutoML solutions are finding challenges with scaling. Plus, these types of solutions are not incorporating the aspects of data prep and feature engineering, nor the model training, deployment and monitoring, which as a result slowing down adoption of AI within the enterprise and curtailing the impact it can deliver.



@insideBIGDATApodcast: ChatGPT – The Human AI Partnership

Welcome to the insideBIGDATA series of podcast presentations, a highly curated collection of topics relevant to our global audience. Topics include big data, data science, machine learning, AI, and deep learning. Enjoy! For this installment, we bring you the second episode of Fireside Chatbots featuring Greylock general partner Reid Hoffman and ChatGPT, the large language model created by OpenAI.



Deci delivers breakthrough inference performance on Intel’s 4th Gen Sapphire Rapids CPU

Deci, the deep learning company building the next generation of AI, announced a breakthrough performance on Intel’s newly released 4th Gen Intel® Xeon® Scalable processors, code-named Sapphire Rapids. By optimizing the AI models which run on Intel’s new hardware, Deci enables AI developers to achieve GPU-like inference performance on CPUs in production for both Computer Vision and Natural Language Processing (NLP) tasks.



New Study: Amid ChatGPT Craze, MLOps Spend Will Surge in 2023 as 60% of Machine Learning Leaders Plan to Boost Investments by Over 25%

ClearML, a leading open source, end-to-end MLOps platform, announced wide availability of its new, in-depth research report, MLOps in 2023: What Does the Future Hold? Polling 200 U.S.-based machine learning decision makers, the report examines key trends, opportunities, and challenges in machine learning and MLOps (machine learning operations).



AI Under the Hood: Interactions

We asked our friends over at Interactions to do a deep dive into their technology. Mahnoosh Mehrabani, Ph.D., Interactions’ Sr. Principal Scientist shared some fascinating information about how Interactions’ Intelligent Virtual Assistants (IVAs) leverage advanced natural language understanding (NLU) models for “speech recognition” and “advanced machine learning.” The company uses NLU models to help some of today’s largest brands to understand customer speech and respond appropriately.



Akridata Data Explorer Reduces Visual Data Analysis Time by 15x, Significantly Accelerates Model Accuracy for Production Grade AI Models

Akridata, a software company that provides an end-to-end suite of products that support both the smart ingestion and smart exploration of visual data to reduce cost and complexity while accelerating business value, announced the official launch of Akridata Data Explorer, its platform that provides data science teams the tools to easily explore, search, analyze, and compare visual data to improve data sets and improve model training.



Hello, this is Your Personal AI Assistant: The Future of Conversational AI

In this special guest feature, Adnan Masood, PhD, Chief AI Architect, UST, believes the ultimate goal of conversational AI is to let people interact naturally with business services through these interfaces, facilitating human-machine interaction, and he’s hopeful that we are on a path to achieving this.



3 Tips for Maximizing Confidential Data in 2023

In this contributed article, Rishabh Poddar, Ph.D., CEO and Co-Founder of Opaque Systems, points out that $300 billion of the world’s most valuable data remains untapped due to the lack of a secure processing environment. With new tools and technology emerging, businesses need to know how to securely tap into their data and achieve business scalability. To get businesses started, Rishabh Poddar, CEO and Co-Founder of Opaque Systems recommends three tips.



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