The COVID-19 pandemic forced many businesses to rethink their approach to customer data management. The sudden shift to remote work and an increase in digital interactions led to a rise in the need for efficient data management solutions. In response, many businesses have begun to explore Customer Data Platforms (CDPs) as a more effective way of managing customer data. In
Artificial intelligence has been rapidly evolving over the past few years, and one of the most exciting developments has been the emergence of generative AI. This technology has the power to transform the way businesses operate by creating predictive models, automating content creation, and enhancing productivity. In this article, we will explore the potential of generative AI for businesses and
Yann LeCun, the Chief Scientist for Meta, the company formerly known as Facebook, has stated that the technology behind generative AI, which powers platforms like ChatGPT, has already hit a dead end. Speaking at a Meta launch event in Paris, LeCun explained that while machines lack common sense, humans possess it, highlighting the limitations of current AI and machine learning
Meta, a technology company based in the United States, announced last week that it had developed an innovative AI music processor that generates music based on natural language descriptions. This development comes on the heels of Google’s January release of MusicLM, which also generates music based on text prompts or humming. Meta has developed an AI music processor Meta’s new
Accenture, the global management consulting, and professional services company announced its plan to invest $3 billion in artificial intelligence (AI) over the next three years. The company said it aims to build out its team of AI professionals and AI-focused solutions to meet the increasing demand from its clients across various industries. Doubling the size of its Data & AI
AI technology has significantly transformed the way businesses operate. Many leading global companies have already adopted AI technology in their workflows, where half of their employees use generative AI technology. However, with the increasing use of AI-generated content, questions arise about what happens when AI models begin to train on it. A group of UK and Canadian researchers have recently
Artificial Intelligence (AI), once seen as a way to usher in a new age of technological advancement, is now being used by cybercriminals to propagate disinformation and perpetrate fraud. Fraudsters are now using widely available AI voice cloning tools to steal from people by impersonating family members. The use of these tools has become more prevalent and alarming in recent years.
Today, the B2B workforce analytics company Visier announced its first generative AI assistant, Vee. The new AI assistant offers a range of features that help managers, HR leaders, and employees generate insights about their teams using natural language queries. With Vee, business leaders can quickly and easily extract insights from data and build reports automatically, providing new ways for businesses
One such debate has been over the need for comprehensive regulations for AI, which can ensure its responsible use and promote public trust in the technology. Recently, the European Parliament approved the draft of the EU’s AI Act, taking a significant step towards establishing the first comprehensive set of regulations for AI in the Western world. Approval of the EU’s
Artificial intelligence (AI) has significantly transformed the way we live and work. From virtual assistants to autonomous vehicles, AI is rapidly changing the world. As the demand for real-time AI grows, developers and businesses require a streamlined process for building real-time inference engines. Apache Pulsar, a messaging and streaming platform, provides a convenient and powerful solution for addressing some of
As businesses rely on data to drive decisions, Customer Data Platforms (CDPs) have gained importance in the marketing and data analysis ecosystem in recent years. CDPs serve as a central repository for various types of data, including customer interactions, behaviors, and preferences, enabling businesses to build better customer profiles for personalized engagement. In this article, we will explore the evolution
In today’s data-driven world, businesses rely heavily on high-quality, accurate, and up-to-date data to make informed decisions in multiple aspects of their operations. With the increasing importance of customer-centered marketing, the pressure to maintain well-organized data has never been higher. The use of a Customer Data Platform (CDP) is becoming increasingly popular among businesses, particularly for startups. In this article,
