Only 52% of employees are confident their organization will ensure AI is implemented in a responsible and trustworthy way, according to Workday’s Closing the AI Trust Gap report. Trust will be key to getting employees engaged in the change needed to realize AI’s full potential. In my last post I looked at what can be done from a cultural perspective. In this […]
The Rise of Generative AI in Insurance
The global market for artificial intelligence (AI) in insurance is predicted to reach nearly $80 billion by 2032, according to Precedence Research. This growth is being driven by the increased adoption of AI within insurance companies, enhancing their operational efficiency, risk management, and customer engagement. Despite widespread integration of AI in the industry today, its full […]
A Brief History of Generative AI
Generative AI has a fairly short history, with the technology being initially introduced during the 1960s, in the form of chatbots. It is a form of artificial intelligence that can currently produce high-quality text, images, videos, audio, and synthetic data in seconds. However, it wasn’t until 2014, when the concept of the generative adversarial network […]
Ataccama Accelerates Data Quality Development for Enterprises with Latest Version of Platform
According to a new press release, Ataccama has introduced Ataccama ONE v15, the latest version of its AI-powered data management platform, designed to help enterprises establish a high-quality data environment. The platform addresses the challenges of data chaos, enabling users to extract reliable insights for various business initiatives. The new version emphasizes the importance of […]
2024’s Predominant Technology Trend? The Cloud
As AI becomes an integral part of business processes and strategic planning, organizations have increasingly based their data strategies around its capabilities. Businesses are generating more data than ever from sources like IoT sensors, customer transactions, social media, and more; managing and extracting value from this explosion of big data has become a key priority. […]
AI Governance Best Practices
AI governance is meant to promote the responsible use of artificial intelligence for the betterment of humankind. Artificial intelligence has proven itself quite useful in completing a large variety of tasks quickly and efficiently. Unfortunately, it can also be used to support criminal behavior or to create and distribute misinformation. AI governance is an effort […]
7 Ways AI Will Transform Data Storage
The rapid adoption of artificial intelligence and machine learning (AI/ML) over the past year has transformed just about everything – ushering in a new era of innovation and growth the world has never seen. The same goes for data storage, where the technologies’ impact will be transformative, enabling greater business agility that companies need to […]
How to Achieve Self-Service Data Transformation for AI and Analytics
Data transformation is the critical step that bridges the gap between raw data and actionable insights. It lays the foundation for strong decision-making and innovation, and helps organizations gain a competitive edge. Traditionally, data transformation was relegated to specialized engineering teams employing complex extract, transform, and load (ETL) processes using highly complex tooling and code. […]
The AI Trust Gap: A Cultural Perspective
Only 52% of employees are confident their organization will ensure AI is implemented in a responsible and trustworthy way, according to Workday’s Closing the AI Trust Gap report. Trust will be key to getting employees engaged in the change needed to realize AI’s full potential. This post will look at what can be done from a cultural perspective. What Is […]
How AI Tools Like Conversational Intelligence Improve Healthcare Customer Journeys
According to a recent report, a continuous loop of disruptions impacts 20% of customer interactions in healthcare, with nearly half of these disruptions delaying or preventing patient care. However, organizations using conversational intelligence to listen to and analyze the voice of the customer (VOC) are realizing benefits, citing a 25% increase in first-call resolution rates and […]