Gleecus Gazette - October 2024
Gleecus TechLabs Inc.
A Forward Thinking Digital Innovation partner creating impactful business outcomes with Technology & Experience.
Dear Readers,
We are excited to bring forth our October edition of Gleecus Gazette. In this edition we explore the importance of Data Science in building a desirable AI/ML model. Digital transformation technologies have become heavily dependent on data and seamless transportation of data whether for ingestion purpose or storing in a common cloud platform forms a large part of engineering. The success of your AI/ML models lies in high-quality data, seamless ingestion architecture, and a centralized governance practice like LLMOps or MLOps.
In this horizon, we are happy to present before you a white paper on what businesses should consider when planning their data ingestion strategy.
Gleecus Insights
For a generic user, the concept of AI is straightforward: it takes in data, performs some intelligent operations, and delivers a valuable output. But this is not so simple, data science plays a crucial role in the AI architecture. It builds the analytical framework and provides the necessary tools to process, analyze, and identify relevant patterns in data. This in turn guides the AI solution to deliver its expected results.
A single-cloud strategy involves relying on a single cloud provider for all computing needs. This approach typically entails using one cloud platform, such as AWS, Azure, or GCP, exclusively for hosting applications, storing data, and running various services. Keeping your data in one cloud computing environment and trying to utilize services from another is fraught with challenges.
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As generative AI continues to garner public attention we witness a growing importance in a new field of AI, the LLMs (Large Language Models). This is the core technology behind text-based interactive Generative AI solutions like Chat GPT. LLMs is also the key technology behind intelligent customer care chatbots and enterprise AI Copilots.
As enterprises exponentially transition towards digitalization by adopting cloud computing a set of unique security risks and vulnerabilities arises. It is important to set organizational and individual practices and goals towards cybersecurity for digital transformation to safeguard the customer data and applications shared with public cloud platforms.
Healthcare is inclined to adopt the age-old adage of “prevention is better than cure”, and predictive analytics is making that possible. By leveraging historical data, machine learning, and AI, healthcare organizations can forecast trends, personalize treatment, and revolutionize patient care in ways we’ve only just begun to explore.
About Gleecus TechLabs Inc.
Gleecus TechLabs Inc. an (ISO 9001:2015 and ISO 20000-1:2018) certified company is a technology and experience focused organization delivering Forward Thinking Digital Innovation in the areas of Cloud, Data, AI, Product Engineering, Automation & Cybersecurity.
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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