11:56, 26th July 2025
DeepLearning.AI is an online education platform founded by Andrew Ng in 2017 with the aim of making top-tier artificial intelligence education accessible globally. The platform offers a wide range of courses and certifications covering deep learning foundations, natural language processing and AI for non-technical audiences.
Led by Andrew Ng, a prominent figure in artificial intelligence and a consistent advocate for accessible AI education, the platform combines expert instruction with hands-on projects and a supportive community. Its stated mission is to democratise AI tools and skills for broad societal benefit.
18:09, 13th July 2025
Sudowrite is an AI-powered writing tool designed specifically for fiction authors, offering a suite of features to assist at every stage of the creative process. It can generate suggested prose in the writer's own voice, expand underdeveloped scenes, rewrite passages, and provide actionable editorial feedback across multiple drafts. Additional tools allow writers to brainstorm names, plot points and ideas, explore character arcs and themes on a visual canvas, and generate artwork from descriptive writing. The platform supports full novel development from initial concept through to completed chapters, and extends its functionality through a plugin system offering over a thousand additional capabilities.
It has received favourable coverage from publications including The New York Times and has drawn endorsements from bestselling authors and award-winning screenwriters. The company was founded by writers Amit Gupta and James Yu, with backing from figures connected to platforms such as Medium and WordPress, as well as a number of notable film writers and directors.
22:12, 9th July 2025
Anthropic has unveiled a new Integrations feature enabling Claude to connect with various applications and tools, alongside an enhanced Research capability that can search the web, Google Workspace and integrated apps. The Research function allows Claude to investigate topics for up to 45 minutes before delivering comprehensive reports with proper citations.
Initially available to users on premium plans, Integrations supports ten popular services including Atlassian's Jira, Zapier, Cloudflare and Intercom, with more partnerships forthcoming. Developers can create their own integrations in approximately 30 minutes using the provided documentation.
These updates expand Claude's functionality by allowing it to understand project histories and organisational knowledge, and to take actions across multiple platforms. The result is a more capable and context-aware tool for complex project management tasks.
21:38, 9th July 2025
The integration of data science and artificial intelligence is transforming biometrics careers, with employers now valuing candidates who possess hybrid skills, are familiar with newer platforms and can adapt to complex data environments. As organisations adopt more automated systems and predictive modelling tools, traditional biometric roles are being redefined, with a greater emphasis on interpretation, validation and system-level oversight.
Biometrics teams must be able to work alongside automated systems, validate outputs and ensure that data meets regulatory standards. Programming fluency, experience with cloud tools and familiarity with machine learning libraries are becoming increasingly important in this context.
Employers should prioritise candidates who understand regulated systems and can support traceability and inspection readiness. They should also provide training on audit trail review, output validation and the documentation of overrides in order to upskill their existing teams. The most effective biometrics teams will combine strong analytical skills with a clear understanding of how automated outputs must be validated, interpreted and documented to meet regulatory standards.
17:41, 9th July 2025
Large language models are inherently non-deterministic, meaning they can produce different responses to the same input, which can lead to errors and inconsistencies. This lack of determinism can be problematic in enterprise software applications where reliability is crucial. To mitigate this issue, developers can implement measures such as sanitising inputs and outputs, observing the process as much as possible and ensuring that processes run once and only once. Additionally, using durable execution technologies can help save progress in workflows and prevent repeated calls to external services. By introducing these controls, developers can make large language models more reliable and trustworthy, which is essential for building robust enterprise software applications that organisations can rely on.
09:01, 27th May 2025
SingleStore is a distributed database platform built for low-latency SQL, designed to handle high user concurrency and petabyte-scale datasets whilst delivering fast query performance across analytics, transactions and search within a single unified engine. The platform includes an AI capability called Aura, which encompasses an AI-powered analyst tool that converts natural language into SQL queries, alongside functions for machine learning and large language model integration. These enable tasks such as sentiment analysis, summarisation and data classification directly within SQL.
The platform is used by a broad range of major organisations including Adobe, Cisco, Goldman Sachs and NVIDIA, with users citing its performance, ease of use and cost-effectiveness as key strengths. SingleStore integrates with existing data infrastructure and is positioned as a solution for industries with demanding real-time data requirements, including financial services, media and high-tech sectors.
09:01, 27th May 2025
Teradata is a technology company offering an AI and data platform designed to help large enterprises convert organisational knowledge into autonomous, real-time business decisions. Its platform combines agentic AI, connected data and scalable analytics to serve industries including financial services, healthcare, manufacturing, retail and telecommunications.
The company counts among its clients ten of the top ten global banks, seven of the top ten airlines and seven of the top ten telecommunications providers. Notable examples of its work include helping Mitsui Sumitomo Insurance increase contract rates by 250% and supporting OSF HealthCare in achieving a 520% increase in patient engagement.
Teradata operates through a flexible, consumption-based pricing model and delivers its services via cloud, on-premises or hybrid deployments. The platform is supported by a partner ecosystem that includes major technology providers such as Microsoft, Google, AWS and NVIDIA.
17:12, 10th May 2025
Decisions in the Cloud from SAS
SAS hosts an ongoing webinar series aimed at data, analytics and IT professionals, focusing on AI, cloud computing and deploying analytical models for improved outcomes. Built around the latest release of SAS Viya, the series covers topics including future AI trends, driving business value and the integration of SAS Viya with Microsoft Azure. Featured speakers include futurist Bernard Marr, IDC Vice President of AI Research Ritu Jyoti and SAS Chief Technology Officer Bryan Harris, alongside a broader group of SAS product managers, advisors and marketing directors. The content is available on demand in short segments and is designed to serve a range of professionals, from data scientists and developers through to business analysts and executives.
17:02, 10th May 2025
A cloud-native data and AI platform designed to streamline the development and deployment of analytical models, SAS Viya offers tools that enhance collaboration across teams, reduce cloud costs and improve productivity through features such as automated model governance, real-time data processing and integrated decision-making capabilities. It supports industries by enabling faster insights, reducing diagnostic and operational delays and improving accuracy in areas like fraud detection and customer management, with organisations reporting significant efficiency gains and measurable business outcomes. The platform is positioned as a trusted solution by numerous industry leaders, with a focus on transparency, scalability and compliance, and has been recognised for its comprehensive approach to data science and machine learning over multiple years.
17:01, 10th May 2025
The collaboration between SAS and Microsoft Azure combines advanced analytics, artificial intelligence and cloud infrastructure to deliver scalable, secure solutions for enterprises. This partnership enables organisations to leverage deep integrations, intuitive tools for data analysis and robust security measures, supporting applications across industries such as healthcare, banking and manufacturing.
Case studies highlight its use in improving patient outcomes, reducing recidivism and optimising logistics, while the platform's flexibility allows for migration of existing workloads and tailored deployment models. By utilising Azure's infrastructure, SAS provides tools that enhance decision-making, streamline operations and adapt to varying organisational needs through cloud-based analytics and AI capabilities.