AI Empowers Microfinance: Revolutionizing Fraud Detection

In this sponsored article, Dmitry Dolgorukov, CRO and Co-Founder of HES FinTech, suggesets that to effectively combat fraud, microfinance institutions must establish robust fraud detection systems. Early detection and prevention of fraudulent activities are vital in minimizing financial impact and safeguarding the funds of vulnerable customers. Microfinance institutions face a significant menace in the form of fraudulent activities, endangering their provision of financial services to underserved communities. Fraud not only leads to substantial financial losses but also erodes trust in the system, impeding the mission of microfinance institutions to foster inclusive growth and alleviate poverty.

Slidecast: Ashwin Rajeeva, Co-founder & CTO of Acceldata Discusses Data Observability

In this slidecast presentation, Ashwin Rajeev from Acceldata describes the company’s data observability solutions. Acceldata solutions allow you to gain comprehensive insights into your data stack to improve data and pipeline reliability, platform performance, and spend efficiency.

Acceldata and its Data Observability Platform – Solving Big Data Management Challenges

In this video interview with Ashwin Rajeeva, co-founder and CTO of Acceldata, we talk about the company’s data observability platform – what “data observability” is all about and why it’s critically important in big data analytics and machine learning development environments.

Implementing AI into Enterprise Search to Make It Smarter

In this sponsored post, our friends over at Sinequa share how the advent of AI, enterprise search has transformed into intelligent search, precisely as was envisaged. This has far-reaching consequences on customer experience and, by extension, return on investment (ROI) in all industries.

Predictions of 2023 Storage Market Trends

In this sponsored post, Eric Herzog, CMO, Infinidat, shares storage market trend predictions for the new year. Based on experience as an enterprise storage solution provider to Fortune 500 companies as well as cloud service providers, managed service providers and managed hosting providers, the company has identified the five trends for 2023.

The Future of Unstructured Data Processing

In this 2022 industry report sponsored by Veritone, we take a look at the future of unstructured data processing (UDP). With the emergence of AI-enabled UDP technology organizations of all types and sizes can now transform this “dark” data into powerful strategic assets.

Data Quality Should Keep You Up at Night (But There’s an Antidote to Data-Induced Insomnia)

In this sponsored post, our friends over at Acceldata examine how integrating data observability into your business operations will create the necessary environment and feedback loop needed to improve data quality, at scale, on an ongoing basis. It will also help your enterprise make the most out of all the data quality best practices your data team adopts, and will also probably enable you to get a peaceful night’s sleep.

Benefits of Automation for Enterprise Data Management

In this article we’ll take a look at how’s and why’s that organizations from many industries are jumping on the automation for data management movement. It’s important that stakeholders understand how well automation performs repetitive data management responsibilities, what tasks still require a human in the loop, and how to evaluate data management automation capabilities.

New Report: The ROI of High-Quality Training Data

With the massive amounts of investment in AI made by enterprises in recent years – and the acceleration of digital transformation across organizations to address shifts in user behavior – LXT’s goal with their new report on the ROI of high-quality training data was to understand the impact of these trends in terms of AI maturity, along with the drivers for AI and the success factors for these initiatives.

End-to-End Automation – The Key to Optimize and Transform IT

In the past several years, assisting new business models through use of advancing new technologies helped reveal IT as a strategic function in the enterprise as opposed to an ordinary operational area. This process, however, came at a distinct organizational cost – additional workload to existing IT teams. We’re seeing substantial increases in IT operational activities due to extra service requests, cyberattacks and demand for new digital services.