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
30 Features that Dramatically Improve LLM Performance – Part 2 September 1, 2024 by Vincent Granville In this article, I explore 10 additional features that have a big impact on LLM/RAG performance, in particular on speed, latency, results relevancy (minimizing hallucinations, exhaustivity), memory use and bandwidth (cloud, GPU, training, number of parameters), security, explainability, as well as incremental value for the user. I published the first part here.
A code security use case for property graph-enabled predictions September 3, 2024 by Alan Morrison Serial entrepreneur Chetan Conikee honed his skills as a technical lead, engineering manager and architect in the financial services industry. Even though his role wasn’t dedicated to cybersecurity, in such a highly regulated environment, security was part and parcel of what he was focused on.
Blending Data Science and Design Thinking for Strategic Advantage August 31, 2024 by Bill Schmarzo Leveraging AI and data effectively has become crucial to organizational success in a rapidly evolving digital landscape. The “Thinking Like a Data Scientist” (TLADS) methodology, detailed in the second edition of my book “The Art of Thinking Like a Data Scientist,” offers a comprehensive framework for integrating data science, design thinking, and economics to achieve meaningful, responsible, and ethical business outcomes.
In-Depth
The importance of assortment localization and size localization in fashion: Leveraging data science for fashion localization September 3, 2024 by Vivek Anand In the ever-evolving landscape of the fashion industry, the concept of “localization” has gained immense importance. With globalization expanding the reach of fashion brands across diverse regions, a one-size-fits-all approach is no longer effective. Consumers from different geographies have unique preferences, body types, cultural influences, and climatic conditions, all of which impact their fashion choices.
The rationale for open data stewardship in an AI age September 2, 2024 by Alan Morrison The considerable advantage of the internet and the web is that together they boosted the global economy dramatically. By 2020, internet and web technologies were contributing $2.45 trillion annually to US gross domestic product (GDP), according to a 2021 Interactive Advertising Bureau study.
Help a friendly, influential executive build a foundation for a data empire on a budget August 30, 2024 by Alan Morrison Are you friends with a big-company executive who has clout? Maybe they manage a big AI program, or they head up a line of business or department. Ideally, they have carte blanche to make substantial changes in how their organization is structured and run.
The importance of financial reporting and analysis with Power BI August 28, 2024 by Raj Joseph The role of a Chief Financial Officer (CFO) has always been of paramount importance for businesses small and large. They not only act as the backbone of an organization’s financial health and strategy but are also responsible for managing financial risks, overseeing the accuracy of financial reporting, and ensuring compliance with regulatory requirements.
Balancing act: Enabling reliable GenAI in the face of data silos August 28, 2024 by Saurabh Abhyankar By Saurabh Abhyankar, EVP and chief product officer, MicroStrategy In today’s rapidly evolving business landscape, organizations find themselves caught between two seemingly conflicting goals: the urgent need to deploy AI technologies, particularly generative AI (GenAI), and the long-term goal of breaking down data silos through comprehensive data integration initiatives.
DSC Weekly 27 August 2024 August 27, 2024 by Scott Thompson Read more of the top articles from the Data Science Central community.
