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Unlocking Digital Transformation Through Business Process Mining

Technology is finding its way into all aspects of our lives and businesses are going through a real digital transformation. It's all about using technology to make them work faster, smarter, and to become better at handling everyday challenges. In this fast-moving world, companies need tools that help them stay ahead, and this is where process mining comes in. In short, it analyzes data from the company's systems to see how it works and then it uses that data to spot problems, improve efficiency, and help make better decisions.

LLMs for Customer Service and Support

Customer service has come a long way, from its roots in face-to-face interactions and phone support to today's sophisticated digital platforms. The latest phase in this evolution is about shifting from human-led processes to AI-driven solutions. According to Gartner, by 2025, 80% of customer service and support organizations will utilize generative AI technology to enhance agent productivity and elevate the overall customer experience (CX).

What is Data Modeling? What is its Importance in the New Age of AI?

AI is all about the game of data. And the emergence of advanced AI models, including the newsmaker one - Generative AI, is compelling business leaders to revisit their data platforms. Stating the obvious, businesses now need customized AI models built for their unique business needs and perfected as per their data. So, your journey to a successful AI transformation or adoption begins with a robust data infrastructure as a stepping stone.

How to Measure Customer Experience: Key Metrics and Strategies

Customer experience (CX) can be the make-or-break element for any business. Well, it's not just a hunch. Research from reputable sources reveals some startling truths: Despite these stakes, more than 62% of businesses struggle to measure the ROI of their CX efforts, and 70% are unaware of how CX impacts their bottom line. AI has already brought advancement across all spheres of the business world. Customer experience (CX) is no exception.

Ad Yield Optimization Guide for Retail Digital Media

While the brick-and-mortar offline retail market is struggling post-pandemic, the online digital retail sector continues to experience strong growth as customers shift to online purchases. This increase in online customer activity is driving a steady increase in digital advertising spending running through the various Retail Digital Media (RDM) platforms. In 2024, ad spending in digital retail media advertising is projected to reach 136.07 billion U.S. dollars, with the bulk coming from the US market.

Digital Transformation: A Comprehensive Guide to Embrace the Future

Digital transformation is no longer just a buzzword; it's a necessity for businesses aiming to thrive in a rapidly evolving landscape. By integrating digital technologies into all areas of an organization, companies can fundamentally change how they operate and deliver value to customers. This transformation is not merely about technology; it’s about rethinking how businesses engage with customers, streamline operations and processes, and create value in an increasingly digital world.

Digital transformation and cost savings: How AI benefits Australian SMEs to enhance digital experience

Small and medium-sized enterprises (SMEs) play a crucial role in Australia's economy. Despite this, they face significant challenges in the current economic climate, including rising costs, higher interest rates, and the need to stay competitive in a rapidly-evolving digital market. For these businesses, cutting expenses is the top priority, closely followed by enhancing the digital customer experience.

How AI is Transforming the AdTech Industry

The global AdTech market is experiencing exponential growth, driven by the rising demand for speed, personalized advertising, and the proliferation of digital platforms. Key trends include the rise of connected TV (CTV) advertising, in-app advertising, rich media, and interactive ads, as well as the growing importance of privacy and data security.