Organizations have long struggled with the “eternal data problem” – that is, how to collect, store, and manage the massive amount of data their businesses generate. This problem will become more complex as organizations adopt new resource-intensive technologies like AI and generate even more data. By 2025, the IDC expects worldwide data to reach 175 zettabytes, more […]
Unlocking the Power of Data: Transforming Data Architectures in the Next Data Cycle
As the world becomes ever more data-driven, enterprises and public sector organizations increasingly realize the limitations of relying solely on structured data to gain insights into their business. The next data cycle demands a shift in data architectures that also encompasses the harnessing of unstructured data. In this article, I will shed light on the […]
Webinar: Better Data Governance for Responsible AI
Download the slides here>> This webinar is sponsored by: About the Webinar Data governance and responsible AI are essential for businesses of all sizes to succeed in the digital age. In this webinar, Google Cloud Program Manager Shuba Lall will discuss how businesses can think about data governance especially as it pertains to AI/ML […]
AI Personalization: Challenges and Practical Strategies for Startups
Personalization is an effective way to drive revenue growth, increase customer engagement, and enhance customer satisfaction. According to a survey by Accenture, 91% of consumers are more likely to shop with brands that recognize, remember, and provide relevant offers and recommendations. In recent years, businesses have recognized the value of personalization in improving customer experience by leveraging […]
Alluxio Introduces New Enterprise AI Platform
According to a new press release, Alluxio has unveiled a new high-performance data platform called Alluxio Enterprise AI, aimed at meeting the increasing demands of artificial intelligence (AI) and machine learning (ML) workloads within enterprise data infrastructure. This platform addresses challenges associated with AI infrastructure, such as low performance, data accessibility, GPU scarcity, and underutilized […]
Qlik Report Highlights the Importance of Data Fabric for Generative AI Success
According to a new press release, Qlik’s Generative AI Benchmark Report, based on research executed by Enterprise Technology Research (ETR) in August 2023, reveals that enterprises are increasing investments in technologies to enhance data fabrics and achieve success with generative AI. The report, which surveyed 200 C-level executives, VPs, and directors from Global 2000 firms, […]
Unleashing the Power of AI and ML in Data
In today’s insight-informed world, businesses of all sizes need to be able to access and analyze their data in order to make informed decisions. However, data is often siloed in different systems and difficult to access, making it challenging for businesses to get the insights they need. The demand for help to streamline these operations […]
Top Ethical Issues with AI and Machine Learning
Artificial intelligence (AI) systems possess the ability to autonomously learn and make decisions, mimicking human intelligence in ways that were once considered purely science fiction. However, this remarkable progress raises important questions about the ethical issues associated with using AI and relying on machines to perform tasks that were traditionally reserved for humans. One of the top […]
ArangoDB Launches Fully Managed Graph Machine Learning Platform
According to a new press release, ArangoDB has unveiled ArangoGraphML, a fully managed graph machine learning platform, aimed at simplifying the integration of machine learning with graph data. In a world where businesses must balance efficiency, customer satisfaction, and security, the power of graph data and machine learning provides a key to unlocking valuable insights. […]
Using AI to Improve Metadata and Business Outcomes
When training AI models, the accuracy of the AI app depends on the quality of the training material it receives. Naturally, feeding it more than it needs or not enough will be either costly or result in a poor model, respectively. When using AI, you want your results quickly and with minimal cost. The best […]