Is ‘Infusion’ The Key To Data Democratization In The Future Of AI?

November 10 , 2022 Posted by Admin

Sisense defines infusion as the practice of integrating data and insights into end-user business applications. “Infusion is about bringing decision-supporting insights into your product in a way that feels native.

BI tools typically work by bringing data together and allowing end-users to draw their own conclusions. They collect data, figure it out, gain insights, and act on it.

Infusion, by contrast, argues for broadening the horizons of including more than just charts to understand what embedded analytics mean. An example of that is the AI based applications.

One of the great things about this application is that it counts your steps as you walk. It doesn’t show any charts. Get around that and give you insights like Keep it up. This is the infusion. Users can internalize this, as opposed to charts, where the user must understand the meaning of the information provided. Infusion is a bigger, broader, and more inclusive term.

Three Practical Examples of Infusion

Decision Support

AI Android app development uses embedded analytics to help users determine the best time to send an email and have it read. It works by taking insights and incorporating them into the UI to guide users to the best answers.

Connect Users to Data

Build plug-ins from your BI system to Excel, PowerPoint, Google Slides, and more, giving users the tools they know and love to access the data they need.

Data Literacy

Teaching people to use data in their day-to-day, minute-by-minute decisions is data literacy. One thing that BI systems can do is attach NLQs to present apps like Slack and MS Teams. Then, you can write a query, and the system will quickly return a snippet of data to see if that’s what you’re looking for. Basically, people can play with data literacy.

(AI Infusion) Democratizing Access to Information Companies in Development

Looking through the lens of technology, there are very few resources that are really scarce – they are largely inaccessible. Think about your own business and the data you have negotiated to collect, obtain, or access. Your data store has probably grown to a considerable amount. The data that holds the key to the next evolution of your business may have just been ingested and is already waiting to transform your business and the world.

The problem is access. In a recent survey conducted by Harvard Business Review (commissioned by Sisense), 77% of respondents said access to data is critical to business success. However, only 16% of the same audience said their data access is spread across their organization.

To make matters worse, 61% of respondents said the lack of a skilled workforce is hampering their analytics goals. The promise of data democratization, which puts the power of analytics and data in the hands of every worker, is undermining. The next phase, the introduction of analytics (and finally AI-enhanced analytics), has definitively solved both of these problems and has officially become a business imperative.

Deliver Next-Level Results Seamlessly

Users care about the end result, not the company or the software. (That’s a scary idea for a software company.) That’s why Sisense is so focused on deploying AI Augmented Intelligence.

The analytics system is well trained to give users what they need, when they need it. As personal technology and lifestyles evolve, so do the ways we access information at the individual, team, and enterprise level. Every workflow essential software on the market has some kind of analytics and data capabilities that can be enhanced by embedding custom analytics widgets. Improvements within this type of workflow help users get the critical and actionable information they need where, when and how they need it.

What we just described just gives you what you know your users need. What about revealing hidden insights? The AI ​​elements of analytics systems are already helping users combine datasets and create analytical connections to gain advanced insights. Future AI systems will be even more aggressive, removing vast datasets that humans have been unable to process and providing actionable information.

Imagine you have a sales job and you have a chain of calls recorded in a system like Gong. Your manager may listen to some calls, but she doesn’t have time to listen to all calls from all team members. But AI systems can. Intelligent analytics systems know when sales reps turn messages on or off, and how word choices and examples correlate with overall success rates when combined with a variety of other factors can be understood on a large scale.

Future salespeople will have AI assistants that present real-time proven data points and examples from similar customers in the past. This reduces decision-making fatigue and allows humans to focus on what only humans can do.

They try to make connections, empathize, and build mutually beneficial relationships.

And this value chain runs through the ranks within the company.

Managers are presented with insights from across teams that AI systems find most meaningful. This is positively related to past successes (and even current successes in similar companies, depending on the data the system has access to).

Ultimately, intelligent systems and workflow-critical software in executive smartphones bring actionable intelligence to the surface. This small group of senior executives, whose decisions have a huge impact on the company’s direction choose from a variety of options narrowed down by a competent and well-trained virtual assistant. Decision fatigue affects people at all levels and in all walks of life. Thus, AI systems can help reduce this fatigue and present the best options to the people involved.

Bringing Intelligence Back To Business

According to Semrush, the forecasted annual growth rate of AI between 2020 and 2027 is 33.2%. Gerimedica knew the story had to be rewritten. When Gerimedica began rolling out to its customers, the first question for Gerimedica was, who, when, how, and what do they need believes that the “how” is the most important thing.

Gerimedica serves doctors, nurses and other health care providers such as psychologists and physical therapists. They can’t integrate the display dashboard into my daily routine while they caring for a patient.

But they need data to drive their decisions. So instead of adapting them to BI. It integrates into a natural workflow, injecting data from the Sisense platform into our user base.

To some, this looks like a notification that sends you a warning about something that needs your attention. To others, it looks like an email report. The latest data shows that the market size of artificial intelligence was valued at $51.08 billion in 2020. But for the majority of users, integrating data from the Sisense data platform into Gerimedica’s user base looks like collaboration via Microsoft Teams, the largest of its user base.

Injected Invisible Glance

Gerimedica uses BI on a daily basis to help customers without logging into Sisense. In fact, about 70% of users have never seen Sisense. They have just the insight they need, in the format that works best for them.

The company also creates station summaries and sends around 350 station summaries to its customers each day. This was initiated to save healthcare providers valuable time. Before creating word summaries, the night shift nurse had to copy and paste information from Gerimedica system or other systems into a Word or Excel spreadsheet. It took about 30 minutes per station.

By integrating this need into Sisense platform, Gerimedica now offers caregivers not just a dashboard, but a meaningful overview in the format the caregiver desires. In addition, all organizations save a total of about 175 hours of administrative copy-and-paste per day between stations. At an organizational level, this equates to a time savings of 5-8 hours per day.

Serving the Underserved Means Better Outcomes

Sisense makes insights accessible to more healthcare providers, leading to better outcomes. Now, you can see a forecast showing the total number of patients admitted and the number of patients who may be discharged. You can also decide how many staff you need for a particular station; instead of going too far or too little, simply schedule 30 hours for a psychologist and 20 hours for a nutritionist. Sisense’s predictive system can predict needs more accurately for future planning.

Additionally, healthcare providers can see how their patients are doing. If they look green, everything’s fine. If they’re orange or red, it’s an indication there might be a problem. They’re telling us that these patients need special attention.

When you click on a patient’s name, a pop-up window appears with a detailed overview of important medical measurements to help you make better decisions. With the push of a button, your healthcare provider can dig deeper and learn more about what is happening to their patients.

At the same time, clients who have incorporated the dashboard into their negotiation strategies saw their rates increase by 2% on average. This is a lot of money, considering that the average organization makes around €10 million in revenue for this kind of care.

Their data-driven and professional negotiating skills have resulted in around €200,000 of ‘free money’ which they can use for whatever they want: real estate, education, and staff upgrades.

Conclusion

Developing AI applications is the future. Honestly, it is now, as it has not been implemented anywhere yet. The day is not far when AI systems will be permanent, always active, and integrated into many (perhaps all?) aspects of our daily lives and work. Thus, companies that recognize this early and start implementing actionable intelligence complemented by AI systems into their workflows will have a distinct advantage over their competitors in the years to come.

When you combine an augmented analytics system powered by a well-programmed AI system with the right data store, the results are truly world-changing. Embrace change, empower your peers and users, and be part of a force that changes the world for the better. For more AI services related to app development, get in touch with App Development Pros.

Also Read: AI app development a definitive guide