Gen AI + ML + Analytics = 

Chances are, no. AI is particularly important for Small and Medium sized enterprises looking to compete with the big players. The efficiencies that AI can often deliver can level the playing field, giving smaller businesses a fighting chance. Check out Dr Andrew Ng’s TED Talk on How AI Could Empower Any Business. If you are not sure, just drop us a note at jam@berrijam.com and we can figure it out together.

If your team doesn’t have capacity for strategic planning and thinking, then there might be a role for AI in creating that capacity for your team. After all, we see AI as a tool to create efficiencies and savings that can help your business grow. It really doesn't take much to get started.

AIR workshops are targeted at strategic leaders, rather than technical experts focusing on helping business teams understand AI in practical terms (promise, no coding or math involved), identify the business outcomes suitable to benefit from a range of AI capabilities, develop the business case for opportunities and define a roadmap that minimizes risk. AIR is run by Berrijam’s experienced team, either on-site or virtually. Send us an email at jam@berrijam.com if you’d like to attend it or organize it for your team.

There are two reasons for this. Unique problems - Each business is unique, with its own particular challenges and operations. You cannot simply copy+paste one solution that works at Acme Corp, and expect it to achieve the same results. Solutions need to be tailored to support your team and business. Solutions gap - There just might not be a shrink-wrapped solution available for your specific business problem, at a price-point that works for your budget. We can work with you to quickly identify the feasibility of developing a custom solution that doesn't cost an arm-and-a-leg.

AI is way more than just Generative AI LLMs like OpenAI's ChatGPT and Google's Gemini. LLMs are just a tiny fraction of the capabilities and benefits. Analytical AI to quickly carry out the 5-why analysis to understand root cause is better suited for process improvement. Similarly optimisation techniques are better suited to improve supply chain logistics and planning, than LLMs. At Berrijam we like to work backwards from the business process or problem, to identify which techniques are most suitable for that problem. Sometimes it would include LLM as a component. Don’t believe us, watch Dr Andrew Ng’s talk on the relatively small potential Generative AI when compared to other types of AI problems - Andrew Ng: Opportunities in AI - 2023

You won’t make decisions for your business, based on another business’ data. So Berrijam AI works on your data, ensuring the insights are specific and tailored to you. The specific data will depend on the type of problem you are trying to understand. We currently support tabular data, but will be adding additional data types like images or documents in the future. See here for some examples.

Yes. Once you have signed up for Berrijam AI, you can request consults with Berrijam AI coaches included as part of your plan. Coaches can help you get started or even brainstorm with you on how to tackle some business problems. We also offer managed analytics services, where we provide insights-as-a-service every 2 or 4 weeks in an agile operating model. Send us an email at jam@berrijam.com if you want to learn about insights-as-a-service options.

Well yeah, but we think you should always start with understanding the why behind the outcomes. Most business processes are not fully automated and strategic decisions need to be well thought out and supported by data. You can use Berrijam AI to understand the why to drive strategic decisions and also generate predictions to prioritize.

Of course, just send us a note at jam@berrijam.com with your question, and your contact details and we’d love to get on a video call with you.

Well, yes - when you consider the practical realities of typical business teams with overwhelmed backlogs of competing priorities. Sometimes data scientists are booked out for months. Even if a data scientist is available they have to spend time understanding your business problem, coding up the algorithms, training models, testing, code reviews and validation. In our experience, we see most deep dive analytics that Berrijam AI provides takes 1 - 3 months to complete by expert data scientists. Since we automate the entire process, you get the results in minutes.

Berrijam AI explores 100s of explainable and non-explainable models to find the best ones for your specific problem and data. You get the insights as ‘discoveries’ based on the best explainable machine learning model, and option to generate predictions using the top explainable and non-explainable models. See here for more details.

No. While we use LLMs as part of Berrijam AI, LLMs are not very suitable for statistical and analytical purposes. Berrijam AI uses LLMs as part of the formulate stage to help you brainstorm and get started. The deep multi-level analysis is done using machine learning algorithms that have been proven over decades.

Firstly, we use best practices to ensure the data is encrypted and handled securely within our secure and access restricted environments. Secondly, your data is yours, and we don’t want to hold it any longer than is necessary. That is why we automatically delete the data once we have finished producing the insights. Not keeping it around means we lower the risk. Finally, we also have on-premise deployment options. Drop us an email at jam+enterprise@berrijam.com for more information.