Gleecus Gazette - March 2025
Gleecus TechLabs Inc.
A Forward Thinking Digital Innovation partner creating impactful business outcomes with Technology & Experience.
Dear Readers,
Greetings from Gleecus! We're delighted to bring you our March 2025 edition of the Gleecus Gazette catching up on the transformative role of AI in business intelligence and data analytics. As organizations increasingly rely on data-driven decision making, the integration of AI into business intelligence systems has become crucial for staying competitive. Our featured articles explore how AI is revolutionizing analytics, enhancing decision intelligence, and why data quality and synthetic data are becoming critical components in AI development.
In this edition, we're also excited to share our new white paper-- Manufacturing Foresight: How AI is Engineering Tomorrow's Production, which examines how artificial intelligence is reshaping manufacturing processes and production environments.
Gleecus Insights
According to a Gartner survey 73% of organizations have already implemented or are planning to implement AI for predictive analytics within the next two years. Integrating AI in BI (Business Intelligence) systems is inevitable for businesses to keep them ahead of the curve. Let us dive into the transformative benefits of integrating AI in BI in the following section.
AI has opened up new avenues of data exploration and insight seeking for organizations. But making business decisions based on experience, intuition, and analytics can be complex and time taking. If decisions taken are not based on the right data or taken in the right context, outcomes can be catastrophic. In fact, McKinsey reports that the average S&P 500 company wastes $250 million per year due to poor decision-making.
Data quality is a serious business for enterprises transforming into data-driven organizations. To standardize adherence to data quality by market research firms the Global Data Quality Initiative (GDQ) has launched a pledge. Enterprises planning to exploit the full potential of AI require to be extra cautious about their data quality. Poor data will give false and incomplete results even if the models are perfect.
Amazon uses synthetic data to train Alexa’s language understanding capabilities, ensuring that the AI system can handle diverse user interactions without relying on real user data. As the field of artificial intelligence (AI) continues to evolve, there’s a growing interest in leveraging synthetic data to enhance AI systems. But what is synthetic data, and how to generate them?
Gleecus Innovation
We continue to innovate with our generative BI platform, Lumenn AI, and have released a couple of new features.
Try out our generative BI (Business Intelligence) platform Lumenn AI to effortlessly connect, query, validate, and visualize your business data with no dependency on the data engineering or BI team. Empower your no-code employees to connect their enterprise database, without making data actually leaving your database, to perform BI analysis and generate reports and data visualizations using natural language prompts. Transform the traditional BI approach forever with Lumenn AI, where AI becomes your BI team.
Visit website to learn more: https://lumenn.ai/
Sign up for early access: https://app.lumenn.ai/signup
About Gleecus TechLabs Inc.
Gleecus TechLabs Inc.(ISO 9001:2015 and ISO 20000-1:2018) is a Forward Thinking Digital Innovation Company that empowers businesses to achieve their Digital Transformation goals. We partner with leading Enterprises, SMES and Startups to realize their true digital potential leveraging our deep focus and expertise on Cloud, Data, AI/GenAI, Automation, Product Engineering & Cyber.
FORWARD THINKING is at the core of our business values, our consulting approach, and our internal workforce. This also makes us the right choice for leading organizations of all sizes, on their path for Digital Transformation.
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