SAS, an analytics company, asked several of its top executives to outline their predictions for the year, and here are the results:
Low-code analytics solutions are giving way to the use of artificial intelligence
Originally, SAS Senior Vice President of Engineering (Jared Peterson) believed that the "data analytics for anyone, anywhere" model would not only be a major trend in 2023, but also a critical step for companies to learn what they need from AI. Maturity He said that as companies continue to use machine learning, computer vision, Internet of Things analytics and other technologies to uncover valuable insights, employees of all skill levels will be able to use the low-to-code options or no-to-code analytics process to engage.
Studying human bias can help address AI bias
Reggie Townsend, the company's director of data ethics, said that experts generally believe that AI can be "biased" and he believes that by 2023 more people will accept the idea that "there are biases in us" and around us. It fits our humanity and influences the way we make decisions. "Developing AI technologies that can predict negative bias and mitigate its impact is the first step in ensuring confidence to move forward without repeating the same mistakes," he said. "
"Limit data usage" is the top priority
SAS Chief Marketing Officer (Jennifer Chase) said 2023 should be the year marketers start looking at data usage restrictions, and she believes the upcoming end of third-party cookies in 2024 will limit call data usage. and brands to completely rethink their customer data strategy, from the data that customers voluntarily submit directly to companies (zero-party data), to the data that companies collect through customers' interactions with them (first-party data), to the customer data that the data includes Other companies from companies (second party) and data collected from various sources (third party). "This change represents a great opportunity for brands to move away from the poor marketing practices of relying on third-party cookies and build closer relationships with customers," she said.
Spending on ESG initiatives doubles
For his part, Director of Global Financial Services (Alex Kwiatkowski) said that in light of the current economic turmoil, one would expect financial institutions to back down from supporting environmental, social and governance initiatives, but he clarified that there is evidence of large sums. Most of the banks' exposures remained stable or even doubled.
He added: “A SAS-sponsored survey of 500 bank executives found that more than three-quarters believe financial services should address social issues.However, 64% of executives think the banking industry is lagging behind environmental, social and corporate governance goals. other industries.
The convergence between esports and blockchain continues
In turn, CTO (Brian Harris) said that blockchain and esports will continue to converge until blockchain-based games emerge in the next five to ten years.
He added, “Esports around the world rely heavily on analytics, machine learning, and artificial intelligence technologies to deliver a professional experience to players and stakeholders. The data that can be analyzed in games is endless, from researching the equal rights of players in the game to analyzing interactions in the game world to track The inventory you can buy and advertise, and that data will continue to grow.
The industry uses artificial intelligence to improve assembly line skills
As for SAS Vice President of Internet of Things (Jason Mann), he said that more organizations will add computer vision and other artificial intelligence technologies, and operations professionals can also use these technologies in the industrial environment of the Internet of Things in addition to IT personnel. and data scientists. Computer vision software focuses on improving revenue, operational efficiency and security.
Real-time data warehouses are replacing data warehouses
Organizations will continue to transition from traditional data warehousing to data warehousing through 2023, Jay Upchurch, the company's chief information officer, said. Data is processed as it becomes available and stored in reports in an easy-to-use format structure. . He added: “Instant recognition of trends helps avoid costly mistakes and seize opportunities, whether in the factory monitoring the flow of IoT data from machines or in the branch monitoring sales.
Digital Twins improve supply chains and reduce climate impact
Climate change often disrupts supply chains, impedes the movement of goods, redirects the flow of goods and even prevents employees from commuting to work, said Dan Mitchell, global director of retail and consumer products, noting that teams working in supply chains are becoming digital. You will use twins. and simulations to speed decision-making so you can respond more quickly to the realities of connected supply chains.
Data scientists are becoming more professional
Data scientist and Head of Mobile Analytics and Operations Products (Marinella Brofi) says that in 2023, data scientists with specialized skills will be more successful in meeting the needs and expectations of organizations and predicts that “we will see data scientists looking for specialized training.”
A diverse, fair and inclusive business culture influences business
Jan Mann, Director of Human Resources at SAS, said that companies will rely more on HR staff and analytics teams to understand employee needs and plan their development appropriately, stressing the need for companies to obtain data to benefit from employee skills and know what they need. Lead business plans and development areas to develop learning and development strategies. "The data will also help ensure diversity, equality and inclusion are part of the business strategy," she added.
Learn more about these trends and the success or failure of SAS forecasts at the SAS Innovate Conference in Orlando, Florida, May 8-10, 2023, which will bring together more than 1,000 policymakers and analysts. Attend over 60 talks, presentations, and lectures and network with colleagues interested in the field of data analytics.