Being ready for artificial intelligence and incorporating it into your processes has become very important with today’s technological development.

It’s time to unlock business potential with Artificial Intelligence. Don’t be late to understand whether you are ready for artificial intelligence and evaluate your readiness by discovering the best approach for corporate success.

Time is ticking…

Summary

Artificial Intelligence is rapidly changing our world, especially the business world. However, many companies are unaware of this impact or are not prepared for it.

Research shows that most businesses are in the “Standardization” stage of AI preparation.
While building a strong data foundation is a crucial step, especially for the success of AI, the best steps to AI readiness include having clean data, experience engagement , continuous improvement, and monitoring.

The following topics can be listed as key areas for artificial intelligence success.

* Organizational preparation,
* Data Preparation,
* Availability of skills and tools,
* Operational preparation,
* Governance readiness

The same topics also explain the challenges organizations face in incorporating AI into their processes.

Building A Data Foundation

An important takeaway; AI needs a strong data foundation.

Organizations are at different stages of AI readiness, and many still struggle with data silos and integration issues.
Research shows that 57% of organizations do not have systems in place to ensure data is easily accessible and integrated from a variety of sources.

Put differently, only 4 in 10 businesses have AI-ready and mature data sets, while the remaining 53% do not yet have the data pipelines needed to incorporate AI into their processes or the tools and data engineers to help streamline the processes.

Companies also see the data processing process as a complex end-to-end process. In addition to the need to include Artificial Intelligence in the process of sense making of data, companies also fear that it may require significant changes in corporate culture and technology before creating a solid data infrastructure.

No matter what, it is critical to ensure that the path you take to provide added value to the business is clear in order to get the right results.
At the same time, choosing and maintaining the route correctly is also important in terms of cost impact.

Incorporating Artificial Intelligence into the process of making sense of data. This is the time…

Coordinated Teams

Although alignment between data science teams and business goals has always been important, positioning data scientists is challenging due to their numbers and costs.

At this point, attention can be turned to automation.

The latest trend in predictive analytics and artificial intelligence is to bring artificial intelligence to the masses;

• Processing existing data,
• Enrichment,
• Modelling,
• Visualization of data

It causes operations to shift the task towards business analysts and data scientists rather than data scientists, accelerating the process.
This observation gives us hope and is largely in line with our thoughts when we designed BASEQ AI.

However, this situation necessitates business and data analysts to use faster, lower-cost, automated, and evolving tools/tools that have different perspectives in order to reach accurate results without getting stuck in technology.

Success is achieved when the company and the management act from the perspective that artificial intelligence is not a magic solution, but a powerful tool and new team member that requires strategic investment and alignment with business goals.

Generative and predictive artificial intelligence

BASEQ .ai was developed with the belief that both methods should be used as an approach.

At this point; The “right value proposition”ris very important. It is important to know the cost benefits of using artificial intelligence in your business and why and how you can benefit from artificial intelligence.

Best approaches for AI readiness

The journey, which starts with having data in the most basic technologically known and accepted state, goes through having clean and organized data as well as keeping the data up-to-date and enriching it.

During the rest of the process, after the models are put into production, they are constantly monitored to see if they provide accurate predictions that meet the needs, and optimizing and improving them so that they do not lose their effectiveness is another part of the preparation. This is where automation, end-to-end operation and regular control of the process come into play.

For a future ready for artificial intelligence

BASEQ AI strives to help organizations overcome these complexities and unlock companies’ full potential by visualizing data and uncovering hidden information.

We know you’re wondering. To join us on this journey and learn more about how BASEQ can accelerate your AI journey, feel free to contact us.

Thank you

BASEQ AI TEAM