Fake ChatGPT Apps Scam Users Out of Thousands of Dollars, Sophos Reports
Sophos, a global leader in innovating and delivering cybersecurity as a service, announced that it had uncovered multiple apps masquerading as legitimate, ChatGPT-based chatbots to overcharge users and bring in thousands of dollars a month. As detailed in Sophos X-Ops’ latest report, “’FleeceGPT’ Mobile Apps Target AI-Curious to Rake in Cash,” these apps have popped up in both the Google Play and Apple App Store, and, because the free versions have near-zero functionality and constant ads, they coerce unsuspecting users into signing up for a subscription that can cost hundreds of dollars a year.
Dataiku 12 Accelerates Into the AI Era With Power and Control
Dataiku, the platform for Everyday AI, unveiled Dataiku 12, their latest breakthrough release packed with transformative new features designed to help organizations confidently harness AI in their advanced analytics initiatives with enhanced transparency and strengthened governance features.
Modern Observability: When “Small” Data Beats Big Data
In this contributed article, Ozan Unlu, CEO and Founder of Edge Delta, explores how a cloud-first world demands that observability be approached in a different way, one that favors “small data” over “Big Data.” In some cases, Ozan believes, a central repository is no longer even needed.
Overcoming Data Overload with Data Fabric
In this contributed article, Pradeep Menon, EVP, Digital Transformation Services Delivery, at Orion Innovation, discusses how reducing repetitive tasks in data discovery, analysis, and implementation is challenging. Organizations today are not only looking to reduce those repetitive tasks but also incorporate augmented data management solutions to drive revenue. The key to success is understanding the importance of incorporating data fabric as part of an overall data strategy that delivers real-time, secure, and connected data across the organization to support modern applications, insights, and analytics.
Sponsored Guest Article
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.
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Cloud Sprawl What Is It and How to Control It
It can occur when an organization doesn’t manage or monitor their cloud environment. In this article, learn how to manage cloud sprawl, the risks, and benefits and how to optimize cloud sprawl to control IT Cost.
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The insideBIGDATA IMPACT 50 List for Q2 2023
The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List.
Video Highlights: Yann LeCun and Andrew Ng: “AI Doomers” and Why the 6-month AI Pause is a Bad Idea
In this Video Highlights feature, two respected industry luminaries, Andrew Ng and Yann LeCun, they discuss the proposal of a 6-month moratorium on generative AI. The discussion offers reasonable perspectives for how generative AI has turned the world on edge.
Big Data Industry Predictions for 2023
Welcome to insideBIGDATA’s annual technology predictions round-up! The big data industry has significant inertia moving into 2023. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming. We were very encouraged to hear such exciting perspectives.
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Meet modern compliance: Using AI and data to manage business risk better
Compliance programs must use robust technology and data analytics to assess their own actions and those of any third parties they do business with. At the very least, companies are expected to be able to explain the rationale for using third parties. This is a compliance game-changer. Historically, organizations could argue that they simply did […]
Migrate to Modernize Your Data and Analytics
In this step-by-step guide, learn how to maximize the value of your data by modernizing — to a cloud-ready analytics ecosystem that is scalable, agile, and future-fit.
4 Methods to Increase Your Profits this Year with Analytics and AI
Unlock the massive potential of ecommerce and digital marketing in 2023. Increased online spending by millennials, and the pandemic’s positive effect on digital marketplace acceptance, present opportunities you can capitalize on. Don’t let headlines and trends obscure your outlook—take control of your retail narrative with analytics and AI solutions that drive revenue, decrease costs, and […]
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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.