To achieve sustainable cost savings, businesses must first gain a deep understanding of their cost landscape—the key cost buckets and areas of expenditure that impact overall financial performance. By mapping these costs, companies can identify where inefficiencies lie, making it easier to target specific areas for savings while improving operational performance. This approach ensures that cost-cutting efforts are strategic, sustainable, and aligned with long-term business goals. AI and advanced analytics can play a critical role in each area of the cost landscape, enabling smarter decision-making, automation, and optimization throughout the organization.

In this update, Jonathan Anderson (our CTO) explains the new DSPY framework, designed to simplify and strengthen control over large language models (LLMs). LLMs, while transformative, can be unpredictable, often behaving like “black boxes.” DSPY addresses this by offering a structured approach to interaction, reducing the need for prompt tuning and making model behavior consistent and predictable.

In this video Simon, one of our Data Scientists, takes a first look at the o1 preview model. OpenAI says the model is part of a series of reasoning models for solving hard problems. With claims that performance is on par with PhD students within fields like physics and chemistry within some benchmarks. To test it, Simon gives it a math problem, and quickly analyzes its solution. Based on this, Simon discusses potential strengths and weaknesses of the model and gives an overall impression with thoughts about the future potential of this type of model.

Effective ESG reporting is crucial for transparency and for meeting regulatory requirements, such as the new Corporate Sustainability Reporting Directive (CSRD) in the EU, and attracting investors. In this context, artificial intelligence can be a powerful tool to transform and enhance this reporting, providing accurate, comprehensive, and real-time insights. By automating complex processes and delivering deeper insights, AI can support organizations in improving their ESG performance and transparency, paving the way for more sustainable and responsible business practices.

Mats Andersson, a PhD student at Sahlgrenska Academy's neuroscience department, is researching how synapses in the brain work. This research is important for understanding conditions where synaptic turnover is affected, such as autism, schizophrenia, and depression, as well as neurodegenerative diseases like Alzheimer's and Parkinson's. Using cutting-edge tools and collaborating with other scientists, this research aims to make a real difference in understanding and eventually treating or managing these conditions.

Most of us have experienced serverless architecture as a way to build and run applications and services without having to manage infrastructure. One of the key advantages of serverless technology is its ability to handle dynamic workloads. AI applications often require processing large volumes of data, and serverless platforms can automatically scale to meet these demands.

At Algorithma, we're constantly pushing the boundaries of Large Language Models (LLMs). In this CTO update, Jonathan explores the exciting potential of AMD's ROCm software platform and the next-gen MI300x accelerators for powering these models.

In today's data-driven world, artificial intelligence is rapidly transforming the way businesses operate, from automating repetitive tasks to gaining deeper insights from data. This revolutionary technology is also having a profound impact on cloud strategies, as organizations seek to leverage the power of AI to optimize cloud infrastructure, enhance data management, and accelerate innovation.