The customer experience is vital to company success. Artificial intelligence and other evolving technologies can enhance the customer journey: The call center continues to be a hub for customer service and support, and companies can now expand its impact with new technology to better serve and retain its customers. Businesses must ensure they properly integrate these technologies to reap the full benefits, however. Done correctly, utilizing these emerging technologies will not only help to target the right crowd but keep them coming back as returning customers. Tune into the Elevating Customer Experiences to Create Impact summit to hear leading experts in the field discuss how AI and other emerging technologies will impact the customer experience, along with proven strategies to enhance and streamline customer service.
The growing demand for low code and no code technology is a by-product of digital transformation: With the growth of applications, companies are seeking a way to build and release them in a more timely and cost-efficient manner as well as to further “democratize” web development. Resistance towards low code/no code was driven from concerns that developers would be limited in their ability to innovate within the platform and its upkeep would further interfere with developer tasks. Based on the current market, it appears those concerns are withering away: Gartner projects the market to grow to a whopping $12.3 billion in 2024. Join the Breaking Barriers with Low Code/No Code summit to hear experts discuss how companies can leverage low code/no code solutions with artificial intelligence and machine learning to simplify business processes and increase productivity.
Top Stories
The Art of Experimentation: Unlocking AI’s Vast Innovative Potential August 27, 2024 by Shafeeq Rahaman Artificial intelligence burst onto the scene, oozing with promise. Bold predictions foretold of pending transformations across industries. But after the initial enthusiasm, pragmatism set in. Delivering impactful AI innovations remains an arduous endeavor. However, vast opportunities still beckon for those committed to unlocking AI’s potential through relentless experimentation.
A 12-step FAIR data fabric program for recovering application addicts August 23, 2024 by Alan Morrison The vast majority of companies have been addicted for many years to software-as-a-service applications. Month after month, organizations worldwide pay tens of billions of dollars in efforts to obtain “easy,” on-demand solutions to the problems of the day. But the solutions are never easy.
30 Features that Dramatically Improve LLM Performance – Part 1 August 21, 2024 by Vincent Granville Many are ground-breaking innovations that make LLMs much faster and not prone to hallucinations. They reduce the cost, latency, and amount of computer resources (GPU, training) by several orders of magnitude. Some of them improve security, making your LLM more attractive to corporate clients.
In-Depth
How can ‘Adaptive AI’ transform businesses? August 27, 2024 by Aria Barnes AI is revolutionizing the world by leaps and bounds, transforming how businesses can benefit from it across different domains. New trends emerge and expand the scope of artificial intelligence, especially to help AI-based systems adjust to ever-changing market demands. One such neoteric form of this advanced technology is ‘Adaptive AI’.
California SB 1047: Limitations of regulation for AI safety, governance, and alignment August 26, 2024 by David Stephen If a state wants to ensure very clean air—most of the time—regulation is an approach to achieving that outcome. Litigation is also on the table for violations that regulation may not cover. These alone would give some levels of success like pharmaceutical regulation with clinical trials and then litigation for certain adverse effects.
Enterprise AI tends in 2024: What businesses need to know August 22, 2024 by Aria Barnes As stated the last couple of years have been the right time for any business to get the numerous benefits that come with the use of AI technology. From the reports published recently, it has been established that enterprises have grown in their use of AI.
How will machine learning transform HR strategies? August 22, 2024 by Pritesh Patel Although it may be daunting to think about automation, AI, and machine learning in work and jobs, it is reassuring that people will always need to assist and steer technology. Furthermore, a robot can never replicate the complexities and nuances of human interaction.
DSC Weekly 20 August 2024 August 20, 2024 by Scott Thompson Read more of the top articles from the Data Science Central community.
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