It’s common knowledge that if any business is going to survive, let alone thrive, they must adapt to change. The energy industry in particular has always been at the forefront of evolving its practices for a multitude of reasons. Vapo Oy is one of Finland’s leading energy suppliers, and they are taking a head-on approach to how they deal with change. Between critical factors of sustainability, climate change, government regulations, and the ever-changing landscape of technology, Vapo must stay on top of these issues and evolve accordingly. In order to facilitate new practices and more efficient solutions, they partnered with our company Enfo Group, a full-service solutions provider and IBM business partner.

Put AI to work: Learn how to integrate AI throughout your business

The need to change for the climate

One of the main fuel sources used in Finland is peat, a naturally occurring deposit resembling soil and mostly comprised of decaying organic material. Working with us, they have begun to see the benefits of a more sustainable business model by changing how they utilize peat.

As of 2019, the Finnish government has enacted stronger environmental laws to combat the climate crisis. To shrink their carbon footprint, Vapo is looking to use peat even after it has been burned. By turning it into activated charcoal, they can use this new material for both air and water purification. Which in turn, provides numerous benefits their business, the environment, and adhering to government regulations.

The future of the energy industry

Our relationship with Vapo was established to help meet their long-term business goals, and that is why they began using IBM Planning Analytics powered by TM1. Thanks to the solution, we were able is able to build an entire sales and planning environment based around ever-changing customer needs, along with solution ops for Vapo’s different types of business that feed their planning models. Because of this, they are able to move from a legacy model to a sustainability model.

The results? Planning Analytics has reduced the complexity of their old models in use. This new model has already had an immediate impact on their daily processes, as of 2019 they were able to cut their processes by 50 percent.

Another immediate benefit of using Planning Analytics was that Vapo is able to build a capable analytics console with powerful visual aspects that they can utilize for their endeavors with their AI team. As a full-service solutions partner, Enfo will help in those decisions for the future of the business.

Supporting our clients’ journey to AI

IBM Planning Analytics, powered by IBM TM1, is an integrated planning solution designed to promote collaboration across the organization and help keep pace with the speed of modern business. With a powerful calculation engine, this enterprise performance management solution helps users move beyond the limits of spreadsheets, automating the planning process to drive faster, more accurate results.

Enfo provides services based on IBM services and solutions with over 100 employees. We are a longstanding IBM Business Partner for more than a decade. With commitment to service excellence, skills development, and customer satisfaction we have achieved an IBM Gold Business Partner status. We were also awarded Expert level competency in Cloud Integration and Development. Expert is a designation for a Competency identifying Business Partners who have the deepest level of capabilities and are identified as being the most competent.

By partnering with Enfo, Vapo can use data and AI to help reach their goals to create a new business model driving profitability through sustainability. Through their partnership, Vapo is well-positioned to add AI capabilities like Decision Optimization for predictive analytics. To put it simply, AI alone cannot save the world, but it can predict the future; and it can create change by helping organizations react faster to make great decisions.

Was this article helpful?
YesNo

More from Artificial intelligence

AI transforms the IT support experience

5 min read - We know that understanding clients’ technical issues is paramount for delivering effective support service. Enterprises demand prompt and accurate solutions to their technical issues, requiring support teams to possess deep technical knowledge and communicate action plans clearly. Product-embedded or online support tools, such as virtual assistants, can drive more informed and efficient support interactions with client self-service. About 85% of execs say generative AI will be interacting directly with customers in the next two years. Those who implement self-service search…

Bigger isn’t always better: How hybrid AI pattern enables smaller language models

5 min read - As large language models (LLMs) have entered the common vernacular, people have discovered how to use apps that access them. Modern AI tools can generate, create, summarize, translate, classify and even converse. Tools in the generative AI domain allow us to generate responses to prompts after learning from existing artifacts. One area that has not seen much innovation is at the far edge and on constrained devices. We see some versions of AI apps running locally on mobile devices with…

Chat with watsonx models

3 min read - IBM is excited to offer a 30-day demo, in which you can chat with a solo model to experience working with generative AI in the IBM® watsonx.ai™ studio.   In the watsonx.ai demo, you can access some of our most popular AI models, ask them questions and see how they respond. This gives users a taste of some of the capabilities of large language models (LLMs). AI developers may also use this interface as an introduction to building more advanced…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters