Data ethics, bias recognition and smart hospitals are among the trends pointed out by SAS
As we reach the end of this year, we can see how much technological resources such as Artificial Intelligence and analytics gained more strength and relevance in the daily lives of companies. And, for 2023, what should organizations expect? To answer the question, the global team of experts at SAS, a world reference in analytics, prepared a list of the top five trends in the use of Artificial Intelligence for the coming year, check it out:
- AI enters a “less is more” phase
Artificial intelligence will proliferate as organizations realize that “less is more”, and quietly shift focus away from “wholesale” innovation as a goal. Instead, AI will be applied to a broader spectrum of decision points and smaller actions whose collective impact is greater than the sum of the parts.
So, paradoxically, there is an increasingly bold transformation as organizations and their employees become widely aware of and comfortable using these technologies.
- AI will recognize all biases
Discussions around technology bias often only involve the downside – and how to prevent these biases from causing harm. In 2023, the industry will also begin to examine the possibility of positive bias – and whether we can inject it into AI to help shape a more equitable world.
- Hospital with AI becomes reality
The world's leading hospitals and other healthcare organizations have shown how the AI hospital can become a reality by bringing intelligence and analytics to the bedside. Multimodal AI will drive signal discovery and insights across multiple parallel data streams such as imaging, genomics, and clinical records.
This trend will allow other industry players to follow suit and look to connected AI to improve clinical decision making, achieve early warning systems in critical care settings, and monitor adherence to important protocols.
- Companies will establish guidelines before regulators
In 2022, the tech industry began to come together to discuss AI ethics issues. In 2023, companies can volunteer to take guidelines and begin to establish for themselves what their thresholds are for specific risks and principles ahead of government regulations. However, this will only work if the industry continues to demystify AI with clear examples and standard definitions that reduce fear around the technology.
- democratization of data science to operationalize AI
The demand for data scientists has grown and companies compete for the best talent, which leads to the difficulty in putting models into production to operationalize Artificial Intelligence. At the same time, organizations are recognizing that data science is no longer just a skill for a few technicians and everyone should be empowered to work with data comfortably.
In 2023, companies must consolidate diverse AI solutions and analytics around modern, open, multilingual tools that will increase data science productivity, empower end users to perform basic data science tasks, analytics and will allow data scientists to focus on core tasks. By democratizing analytics, more people can enter that area.
