In today’s digital era, cloud infrastructure has become the backbone of many organizations, providing the necessary resources to support diverse applications and services. The increasing complexity and scale of cloud environments have necessitated the adoption of automation to manage infrastructure efficiently. This article explores the pivotal role of automation in provisioning and managing cloud infrastructure, […]
AI and Blockchain in CRM: Securing Customer Data with Advanced Technologies
It is crucial to stress the need to protect data in customer relationship management (CRM) systems because data breaches and cyber threats are becoming more sophisticated. The security measures are inadequate now; companies must constantly seek creative ways to address changing threats. One cannot stress how urgently improved security measures are required. Remarkably, blockchain technology […]
Streamlining Your Data Needs for Generative AI
Companies are investing heavily in AI projects as they see huge potential in generative AI. Consultancies have predicted opportunities to reduce costs and improve revenues through deploying generative AI – for example, McKinsey predicts that generative AI could add $2.6 to $4.4 trillion to global productivity. Yet at the same time, AI and analytics projects have historically […]
Why Effective Data Management is Key to Meeting Rising GenAI Demands
OpenAI’s ChatGPT release less than two years ago launched generative AI (GenAI) into the mainstream, with both enterprises and consumers discovering new ways to use it every day. For organizations, it’s unlocking opportunities to deliver more exceptional experiences to customers, enabling new types of applications that are adaptive, context-aware, and hyper-personalized. While the possibilities are […]
Data Governance and AI Governance: Where Do They Intersect?
Artificial intelligence (AI) is transforming businesses and industries worldwide with new data products and services. A recent Stanford University AI Index Report found that about 55% of companies have already implemented AI in at least one business unit or function. To get the best results, organizations need to connect AI and its data activity with their business strategy. So, […]
Lost in Translation: Language Gap Holds Back GenAI in Life Sciences Industries
Across industries, organizations continue to seek out a range of use cases in which to deploy advanced intelligence. With the development of generative artificial intelligence (GenAI), various industries are leveraging the technology to process and analyze complex data, identify hidden patterns, automate repetitive tasks and generate creative content. The promise of GenAI is transformative, offering […]
Reltio Adds Data Unification and AI Capabilities to Updated Data Platform
According to a new press release, Reltio has launched its latest version of the Reltio Connected Data Platform, aimed at empowering data leaders with advanced capabilities in data unification and AI. This update significantly expands the platform’s generative artificial intelligence (GenAI) capabilities and introduces new velocity packs tailored for Product and Supplier domains within its […]
Women in Data: Meet BetterAI CEO Angel Vossough
The latest installment in our Q&A series with women leaders in data features Angel Vossough, CEO and co-founder of BetterAI. (Read our previous Q&A here.) Angel Vossough spent over a decade working as a network engineer before she founded her first startup, a data-driven company that helped female professionals excel in their careers. During COVID-19, Vossough […]
Data Retention Policies Must Evolve to Address Emerging Technologies and Data Growth
The emergence of new technologies, including AI, IoT, and blockchain, in addition to the widespread embrace of digital transformation, has driven a dramatic increase in data. The reliance on data analytics to drive data-driven decision-making also requires large volumes of data for meaningful insights. While AI and generative AI (GenAI) tools and systems contribute to […]
Data Ethics 101
The term “data ethics” refers to a set of guidelines that ensure data collection, use, and management processes respect privacy and security while safeguarding fairness. This includes considering the implications of data collection methods, the transparency of algorithms used to process information, and how decisions based on data analysis might affect individuals and communities. What […]