Breaking the Data Dilemma: Embracing AI to Propel Businesses Towards Hyperautomation

GenBI: A New Experience of Data Visualization

Generative BI, which blends AI and Machine Learning (ML) technologies, is reshaping the way we approach data analytics. Users are no longer required to dive deep into complex data sets but can instead obtain intuitive visual information through interactive dashboards and even converse in natural language, quickly uncovering meaningful business insights within minutes.

This not only lowers the barrier to understanding data but also empowers non-technical experts to master it, driving precise, data-driven decisions. As an example, retail and e-commerce stand out as industries that can harness immediate benefits by adopting Generative BI as a sales analysis tool.

Generative BI can provide real-time presentations of overall performance or detailed analyses, including performance by product, staff, or store, and detailed weekly or monthly comparisons. Such instant data feedback enables businesses to swiftly adapt to market changes, optimize inventory strategies, launch seasonal products, deepen customer insights (KYC), significantly enhancing sale performances.

AI Agents: Realizing Hyperautomation in Business Processes

Hyperautomation is quickly becoming a pivotal force in digital transformation. It encompasses a suite of technologies including Business Process Management (BPM), Robotic Process Automation (RPA), chatbots, AI, and ML – all aimed at achieving the complete automation of business processes.

Here, AI agents play an important role, not just as smart decision-makers or executers of complex tasks but as proficient handlers and analysts of vast amounts of data, enhancing efficiency and productivity, reducing operational costs, and accelerating the pace of digital transformation.

In critical sectors like logistics, finance, and healthcare, Hyperautomation is reshaping every facet of business operations. In the financial services industry, for instance, its application in loan approval processes has shown significant results. Automating the processing of documents, compliance checks through AI has drastically shortened approval times, boosted efficiency, and considerably reduced the risk of human error. This can be taken even further through the precise risk assessment and fraud detection capabilities of AI agents, adding another layer of reliable protection to loan application processing.

AI and Deep Data Integration: Co-creating New Value for Businesses

Generative BI makes data analytics efficient and intuitive, supporting businesses to seize the market pulse and flexibly adjust their strategies in turn, with hyperautomation providing robust technical support for optimizing processes. Many leading technology companies and providers have established "Data and AI " departments to meet AI application needs and explore application scenarios through Proof of Concept (POC) projects. This has positioned AI and data as a core force driving enterprise development – which will only continue to expand as more and more organizations get on board the AI train.

LPS is committed to advancing these innovations, fostering service excellence and establishing ourselves as a trusted digital advisor. Our strong collaboration with Lenovo has propelled us into a leading voice in the Asia Pacific, driving AI transformation across industries. Our vision of “Smarter AI for All” ensures that AI technology is not only accessible but also beneficial for everyone, co-creating a sustainable future through transformative technologies. Let's embark on this journey together, unlocking smarter progress and reaching new heights of digital technology excellence along the way!