In recent years, software has revolutionized the world, but now AI is set to transform all software. Every industry has experienced a digital transformation, leading to an accumulation of vast amounts of data by companies. Only those that effectively leverage their data and AI capabilities will emerge victorious.
As your company grows, the number of places where your data is siloed increases. This makes moving and consolidating the data increasingly difficult. We help you liberate data from silos and make it more accessible.
The more decisions rely on data, the more accurate that data needs to be. This means your company and all your AI applications can't afford to operate with missing or invalid data. We help you with data cleaning and measuring data accuracy.
Companies are increasingly aware of their data security responsibilities, yet they often lack the expertise to keep it secure, leading to data leaks. This risk is even greater when AI has access to the data. Our dataplatform is designed around the security of your existing identity management tool.
After Olav, the founder of IntelliStream, left the successful startup boost.ai and spent four years in the oil and gas industry, he recognized that most businesses underestimate the importance of data quality. To remain leaders in their fields, businesses need to invest in artificial intelligence (AI), and to invest in AI, they need high-quality data.
At boost.ai, all training data was created from scratch. They hired experts proficient in their native languages, including Norwegian, Swedish, Finnish, and more. They authored and conducted quality assurance for the training data in their respective languages.
Due to the premium quality of its training data, boost.ai quickly emerged as the market leader for virtual assistants. Even major Fortune 100 companies specializing in virtual assistants and AI, were outperformed by Boost AI's virtual assistant. boost.ai's exceptional data quality made them to a global leader.
After boost.ai Olav worked on an environmental, health, and climate project, and they were fortunate to have a data platform that consolidated data from multiple sources, including thousands of raw sensor sources with time-series data. However, with this complexity, we faced a significant challenge due to the lack of data provenance tracking.
Data has a life cycle: it originates from a source, carries a history with multiple events, and evolves into various data paths.
Businesses need a data platform that documents the origin of data, its processing, transformation, and transmission. Provenance tracking is essential for ensuring data integrity, accountability, and transparency. This is particularly crucial for data science, compliance, and AI initiatives. It also simplifies building upon the previous work of other intelligent individuals.
A data platform should offer support for data provenance tracking, and help businesses making better decisions based on verified and traceable data. By knowing the data's lineage, businesses can pinpoint where issues occurred and take corrective actions swiftly.
Businesses must handle and analyze data as it is generated to gain real-time insights and enable faster decision-making. For example, a self-driving vehicle processes multiple data streams in real-time, making thousands of decisions in less than a second. It cannot afford to rely on outdated data.
In the environmental, health, and climate project that Olav worked on, outdated data posed a significant challenge. Decisions needed to be based on data that was only a few minutes old at most, but instead, they received data in batches every 10 minutes. This made precise and swift actions impossible, causing important features to be put on hold and making the project nearly unworkable in a way that could return value.
These challenges are exactly why IntelliStream DataHub needs to exist. It is a unique product where the aim is to revolutionize the data architecture in businesses. With our data platform, you can achieve more with less, maintain control, and outpace the competition.