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
Are Bill Gates’ energy expectations for AI optimism or realism? September 4, 2024 by Chris Yoko As both a major funder of climate change initiatives as well as one of the largest economic beneficiaries of Open AI, Bill Gates’ claim that climate-focused concerns of AI energy usage are being overblown has been understandably met with some skepticism. Is Gates just providing cover to protect his economic interests, or is AI actually capable of playing a critical role in guiding the transition from fossil fuels to sustainable energy?
How to improve the performance of a RAG model September 6, 2024 by Kevin Vu Retrieval-augmented generation (RAG) models, more commonly known as RAG systems, are gaining significant attention in the AI industry. The concept behind the models is simple: instead of training a model on massive amounts of data, we allow the model to retrieve information from a separate dataset as they need it.
ChatGPT+2: Revising initial AI safety and superintelligence assumptions September 9, 2024 by David Stephen It was initially assumed that regulation is necessary for major models as a way to make [most of] AI safe. In the two years since ChatGPT, that has turned out to be inaccurate. Frontier AI models, even with the absence of regulation, are under the scrutiny of litigation, media, investors, users, commission inquiry, and congressional hearings, keeping them within certain boundaries that benefit several safety objectives. Also, the firms have been able to prospect most regulatory demands, preparing or adjusting for them.
In-Depth
Quantum leaps in machine learning: Pushing the boundaries of AI capabilities September 9, 2024 by Shafeeq Rahaman Machine learning has come a long way in a short time, and it seems like every day, we’re reading about a new breakthrough in AI capabilities. But even with all the hype, some game-changing advancements tend to fly under the radar initially.
Transforming supply chain management: The impact of AI and data science September 9, 2024 by Vivek Anand In the world of supply chain and logistics, effective inventory management is crucial to maintaining a smooth operation and ensuring customer satisfaction. Inventory management becomes even more complex when dealing with multi-echelon systems, where multiple layers of inventory are maintained at different stages in the supply chain.
Computing distant connections in financial knowledge graphs September 9, 2024 by John Lee Let us take a knowledge graph, or more generally any directed graph, and represent it as a matrix (see below). In matrix form we can see: Finance examples Users of financial knowledge graphs are interested in not just first degree connections, but second, third, and Nth degree connections.
Your Personal GenAI Innovation Curriculum September 8, 2024 by Bill Schmarzo I have written many blog posts discussing using Generative AI (GenAI) tools such as OpenAI ChatGPT, Microsoft Copilot, and Google Gemini to improve professional efficiency and personal development. However, we must transition beyond using these GenAI tools only for productivity improvements to using these GenAI tools to fuel innovation.
How to utilize AI for improved data cleaning September 6, 2024 by Zachary Amos If you’ve ever cleaned a dataset, you know how tedious it is. You spend 80% of your time cleaning and exploratory analysis, leaving little time for visualization, presentation, reporting or insight extraction. The longer you spend in this phase, the less time you have to generate value or uncover trends.
OpenAI and Anthropic: Hopes for AI alignment and safety should not be centralized September 4, 2024 by David Stephen For all the negative reasons that AI was in the news in the last year, regarding harms and misuses, what did Anthropic or OpenAI offer, as broad solutions? One may contend that the models of OpenAI and Anthropic are not the sources—or the causes—and that their models are fairly safe, but if there is the possibility for harm, with the same technology that they are the best at, maybe expectations that they have answers to general problems in AI alignment and safety should be trenched.
DSC Weekly 3 September 2024 September 3, 2024 by Scott Thompson Read more of the top articles from the Data Science Central community.
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