Ransomware remains an ongoing threat as it continues to evolve. Companies must be vigilant with the rapid expansion of AI and other emerging technology creating even more opportunities for cyber criminals. Tune into the upcoming Tackling Ransomware and Emerging Threats summit for advice to prevent and recover from the latest crop of ransomware attacks. Leading industry thought leaders will discuss innovative platforms, frameworks and employee training techniques as well as detail the AI and social engineering attacks to remain vigilant of in 2026.
The continued rise of generative AI is transforming industries across the globe, but staying abreast and ahead of this fast-evolving landscape can be a challenge. Join industry experts for Enterprise Strategy Group: GenAI Summit 2025 as they explore the latest trends, insights, and strategies for harnessing the power of generative AI. The GenAI Summit will uncover best practices and key use cases driving adoption, including buyer preferences and the impact of AI agents. Speakers will go deep into customer service, where generative AI is delivering tangible benefits through advanced automation and personalized interactions.
Top Stories
Moveworks uses AI to grow its employee automation platform 10 December 2024 by Esther Ajao and Shaun Sutner In September, AI vendor Moveworks revealed that it surpassed $100 million in annual recurring revenue. The AI application startup, which was founded in 2016 and was valued at more than $2.1 billion in 2021, uses a reasoning engine to help employees search for information across the enterprise. Since its inception, a key ingredient in the company’s success has been AI and generative AI technology.
Let’s Get Small! Nanoeconomics to Address Economic Welfare Loss December 7, 2024 by Bill Schmarzo Much like Alice in Alice in Wonderland, who drank from the “Drink Me” bottle and shrank to explore a world she couldn’t access before, nanoeconomics invites us to think small—delving into the granular details of individual behaviors and decisions. By getting “very small indeed,” we unlock insights that reveal inefficiencies, minimize waste, and address Economic Welfare Loss or Deadweight Loss in ways that broad, blunt policies cannot.
Best practices for encrypting sensitive data in the cloud December 6, 2024 by Machi Onwubuariri Encryption plays a crucial role in locking down sensitive information, especially during transfers to the cloud. As more companies move their data to cloud-based systems, encryption has become an indispensable component of modern cybersecurity. In this article, we will dig into encryption, breaking down its principles and importance to ensure a comprehensive understanding.
In-Depth
LLMs, mobile e-commerce: Where-to-sell-AI, for new business marketplaces December 10, 2024 by David Stephen How does an entrepreneur know that the products or services of the business are needed at some location? What is the possibility of stretching the marketplace of a business into new directions of demand? E-commerce initially notched where to buy—for many, then where to sell—for many.
What happens when you click “Accept All Cookies”? December 9, 2024 by Machi Onwubuariri People Don’t Want Cookies—But Accept Them Anyway. We’ve all been there. You visit a website for the first time, and a pop-up asks you to “accept all cookies.” At that moment, you’re faced with two choices: either accept the cookies and gain access to the website’s content or leave without being able to view anything.
Sentiment analysis at scale: Applying NLP to multi-lingual and domain-specific texts December 6, 2024 by Shanthababu Pandian Sentiment analysis, also known as opinion mining, is a powerful concept in the Natural Language Processing (NLP) technique that interprets and classifies emotions expressed in textual data. Of course, it identifies whether the sentiment is positive, negative, or neutral. With the outcome, each business and researcher can enable and understand customer opinions, market trends, and social attitudes.
DSC Weekly 3 December 2024 December 3, 2024 by Scott Thompson Read more of the top articles from the Data Science Central community.
Data science implications of a second gilded age December 3, 2024 by Alan Morrison Mark Twain coined the term “The Gilded Age” when he published his 1873 novel The Gilded Age: A Tale of Today. Between 1870 and 1914, the US experienced an unprecedented amount of industrial growth. Much of the resulting wealth accrued to the top one percent. During the first Gilded Age, the top ten wealthiest people in the US held a total of $1.2 trillion (valued in 2006 dollars), according to Statista. Standard Oil capitalist John D. Rockefeller, the wealthiest man in the US, led the top ten, holding a total of $305.3 billion.
