Complete library
The complete collection of all our insights, offering a comprehensive range of articles spanning foundational concepts to advanced strategies, providing guidance and inspiration for every stage of the algorithmic business journey.
Building the algorithmic business: data driven operational excellence and cost management
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.
AI as a tool to offset electrical power scarcity
Sweden's major population centers, including Gothenburg, Stockholm, and Malmö, are faces with a looming threat of power shortages due to capacity constraints in the national grid. Property owners, transportation sectors, and heavy industries will face challenges to drive their business. AI is part of the toolbox to solve this - but getting started is key.
AI in predictive manufacturing
Collaborative thought leadership between Opticos and Algorithma: Manufacturing companies face increasing pressure to optimize operations, reduce costs, and enhance competitiveness. To meet these challenges, manufacturing and supply chain companies are turning to predictive manufacturing. This approach leverages advanced analytics and AI algorithms to anticipate disruptions, optimize production processes, and enhance overall efficiency.
AI as a tool to advance the circular economy
With a growing world population and escalating consumption levels, production and consumption patterns need to shift towards sustainability. To combat climate change effectively, business models must separate resource use from economic gain. This could be the circular business model, which revolves around reusing and recycling resources within an infinite system. Through this approach, known as decoupling, the link between resource consumption and environmental degradation can be broken. Transitioning to a circular economy is essential to meet climate targets and pave the way for a more sustainable future.
AI is revolutionizing the financial industry
Artificial Intelligence is a game-changer for the financial sector, reshaping traditional banking and financial services. The financial industry has always been at the forefront of innovation, constantly adapting to new technologies to improve efficiency and deliver better services to customers. In recent years, artificial intelligence has brought remarkable advancements and revolutionized the financial industry.
Embracing the future: The era of "AI First" in business strategy
The technological landscape has undergone a series of transformative shifts, each revolutionizing the way businesses operate and interact with the world. In this era of rapid advancements, like previously e.g. cloud and mobile, the notion of "AI First" is a paradigm shift, reshaping how you should approach decision-making, investments, and project portfolio management.