Our friends over at Cognyte recently released a report about ChatGPT, crime and the impact on law enforcement authorities: “ChatGPT and Crime – What Law Enforcement Needs to Know about Large Language Models.” Hundreds of millions of users around the world are using AI bots, such as ChatGPT, which are powered by Large Language Model (LLMs). This rapidly evolving technology has the potential to allow criminals and bad actors to easily scale up cyber-crime, financial crime, human trafficking, disinformation and other illicit activities.
Healthy Hives: Cloud Analytics Helps Save the World’s Bee Population
In this machine learning cast study, we describe how cloud analytics technology is being applied to the Global Hive Network, an initiative to collect billions of individual data points from around the world and analyze them to understand the honeybee population’s overall health and its relationship with environments, weather patterns, forage, diseases, parasites, predator species, and pesticides.
Octo Telematics Transforms the Insurance Industry with Machine Learning and Analytics Platform
Octo Telematics, a leader in telematics for insurance companies, is introducing innovations for insurance by aggregating 186 billion miles of driving data from connected cars and using Cloudera Enterprise to predict and model driver risk.
Non-profit Safety Regulator uses Machine Learning to Improve Public Safety
In this machine learning use case, we take a look at Technical Safety BC, an independent, self-funded organization that oversees the safe installation and operation of technical systems and equipment across the province of British Columbia in Canada. The not-for-profit organization recently partnered with data science software maker Dataiku to introduce more sophisticated machine autonomy to their hazard identification process. The partnership enables Technical Safety BC to build machine learning and advanced analytics-based solutions faster and more accurately, allowing the company to better target areas of high risk.
Scaling a Small Data Team with the Power of Machine Learning
In an effort to continue to grow their business in existing and new markets, DAZN – a live and on-demand sports streaming service – wanted a fast, low-maintenance way to enable their small data team to run predictive analytics and machine learning projects at scale. In this case study, we’ll see how the company turned to Amazon Web Services (AWS) and Dataiku in combination for their simplicity in setup, connection, integration, and usability.
Meet Flo – The First Period & Ovulation Tracker that Uses Neural Networks
A major breakthrough in the FemTech domain has recently been done by Flo Period Tracker – the first period tracking app to publicly announce using artificial intelligence for improving cycle predictions. Flo became the most downloaded app worldwide in its category within months after introducing neural networks to its prediction algorithm.
Big Data Use Case – Ticketmaster: Cloud Migration Experiences
The insideAI News technology use case guide – Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights provides an in-depth look at a high-profile cloud migration use case. One of the most widely discussed topics in IT today is moving workloads to cloud. The process of deciding whether or when to migrate to the cloud can be daunting. Further, finding the right technology fit for your enterprise objectives can be challenging with a cloud solution ecosystem filled with alternatives. To make the cloud adoption process more straightforward, this white paper provided a number of areas for consideration when evaluating a cloud platform.
Harte Hanks Brings Next Generation Data and Analytics to Marketers with Opera Solutions’ Signal Hub Platform
Harte Hanks ( NYSE : HHS ), a leader in customer relationships, experiences, and interaction-led marketing and Opera Solutions, a leader in Data Analytics, announced the market availability of their data and analytic solution delivered through Opera Solutions’ Artificial Intelligence (AI) and Machine Learning platform, Signal Hub™.
Visualizing Malaria in Zambia using Big Data
EXASOL, a high-performance in-memory analytic database developer, and PATH, an international nonprofit organization and global leader in health and innovation, announced a partnership to support the Zambian government’s ambitious campaign to eliminate malaria by 2020.
Manage Deploys MemSQL for Real-Time Analytics
MemSQL, provider of the database platform for real-time analytics, revealed that Manage, a leader in programmatic mobile marketing and advertising, has deployed MemSQL to power real-time analytics. Manage helps enterprises like Uber, Wish, and Amazon manage global mobile marketing campaigns by buying real-time programmatic inventory to drive the most engaging users to mobile applications.