Blogs

Generative AI (GenAI) is transforming the way scientists handle complex multi-omics data by enabling efficient analysis, visualization, and biomarker identification. It streamlines workflows, enhances drug discovery processes, and supports personalized medicine.

To highlight the challenges of document search and retrieval in the life sciences industry and demonstrate how docsonar, powered by Generative AI, addresses these challenges, ultimately improving efficiency and productivity.

Pharmaceutical R&D and healthcare generate vast amounts of data from a wide range of sources, from preclinical and clinical trial results, through post-approval real-world drug use, claims data and medical records, to short- and long-term sales and marketing figures.

We are thrilled to introduce PubMed Search. A Gen AI-powered Research Assistant. This Solution will revolutionize how we engage with scientific literature.

Explore the power of Apache Superset, an enterprise-ready business intelligence web application that revolutionizes data exploration and visualization.

Discover how Gen AI is revolutionizing research document management. Learn how it streamlines workflows, extracts insights, and enhances collaboration for researchers.

In this blog, we'll explore how AI is shaping technology in 2024. We'll look at its impact on fields like data engineering, cloud transformation, data analytics, generative AI, and application modernization. We'll also highlight key AI models to watch and discuss their implications for businesses.

In this blog, we're about to explore a thrilling journey into the world of Amazon Bedrock and discover how it's poised to transform generative AI development.

In this article, we examine the features, benefits, and differences of both AI platforms to provide a clear picture of what would work best for your requirements.

Learn the key differences between generative AI and traditional AI, and how they are transforming our world.

Amazon QuickSight and Amazon SageMaker Canvas are two powerful AWS services that can be used together to enable predictive analytics for everyone. Learn more about how this combination can help you make better business decisions!

Poor data quality can lead to costly mistakes and missed opportunities. This blog post will show you how to identify and fix the most common data quality issues, so you can make better decisions with your data.

In this blog post, we explore the latest trends in data analytics and their potential implications for organizations of all sizes in 2024 and beyond.

Here is an interesting blog post that comprehends what generative AI is, discovers the significance of foundation models, and learns how it shapes the future of technology. Start reading now.

As the digital world continues to expand at a pace organizations are recognizing the growing importance of value, from their data.

Informed decision making is the best way to business success, increase productivity, reduce cost, and attain goals effortlessly.

The data management and analysis landscape are ever evolving! The newcomer "Data Mesh Architecture" is a major supporter of innovation in how businesses manage their data.

The rise of data ecosystems has introduced complexities and challenges in the ever-changing realm of data management. Traditional centralized data structures are being replaced by data meshes that distribute data across sources making it crucial to establish procedures, for data governance.

The idea of a Data Mesh has emerged as a strategy, for managing complex and distributed data systems. As organizations grapple with volumes of data coming from sources and being used by different teams ensuring data observability has become a crucial challenge.

Data lake is a widely adopted platform, and it is favored by large enterprises that generate substantial amounts of data. One of the key reasons for its popularity is the provision of a comprehensive and authoritative data store that adds value to businesses through valuable insights.

Global data creation is projected to grow by over 180 zettabytes by the year 2025. This massive surge in data creation and its utility stands between what we call success and failure for businesses.

In today's competitive business landscape, minimizing downtime and implementing downtime reduction strategies are critical to success.

The demand for cloud computing has grown exponentially in recent years, particularly due to the pandemic and the need for more data protection and storage.

Data production and storage have drastically increased in the past few years. By 2025, it is estimated that 200 Zettabytes of data will be stored globally.

Every data engineering team knows that data quality is a central factor in success. But what does it mean? Poorly-handled data and inaccuracies can have disastrous consequences, from misguided decisions to lagging revenue.

The pharmaceutical industry constantly innovates and pushes boundaries to develop more effective treatments for various diseases. Data engineering has proven invaluable in this pursuit...

Organizations of all types have realized the vital importance of data analytics in today's world. It enables decision-making across sectors and businesses by delivering insights from past events, predicting future outcomes, and optimizing operations.

Amazon Redshift is a powerful, managed data warehouse that enables organizations to analyze large amounts of data economically.

The pharmaceutical industry continues to make strides in providing life-saving drugs and medical devices to boost human health and well-being. However, delivering the best customer experience is only sometimes a priority, particularly in this industry.

Learn how Databricks SQL delivers world-class performance and data lake economics with up to 12x better price & performance than legacy cloud data warehouses.

In the fast-paced world of technological advancements, companies are constantly searching for new ways to capture data from various sources and use it strategically.

Why is customer experience important and how does it help the Media & Entertainment industry? Discover best practices, strategies and steps to achieve it?

Helping businesses choose the right AWS EC2 instance type for seamless migration to the cloud. EC2 instance types depend on unique business requirements.

With the growth of unstructured data, organizations must consider data lakes when making essential decisions.

Pharmaceutical companies have researched and made observations for centuries to understand treatment's efficacy better.

The challenges of self-managing OpenSearch motivate many organizations to migrate data to AWS OpenSearch Service. While this is not a complex undertaking, it requires attention to detail to avoid accidental data corruption or deletion.

It has become quite clear for businesses that customer satisfaction is the key to achieving success in your industry. However, improving customer experience starts with using data analytics services effectively.

Cloud computing is perhaps the best IT invention with proven benefits for hundreds of industries. Cloud leverages its foundational features of storage and collaboration making traditional backups unnecessary.

From something that was only accessible to Fortune 500 companies, Business Intelligence (BI) is now an indispensable part of any organization’s DNA. How did BI get here?

This blog argues that for businesses seeking a data and analytics platform, AWS is the clear winner. It outlines 11 compelling reasons, ranging from its established infrastructure and global reach to its user-friendly interface and cost-effective solutions.

As per a report by Statista, nearly 79 zettabytes of data were consumed by internet users globally in 2021 and this number is expected to reach 180 zettabytes by 2025.

In 2022, digital transformation is the key driving factor behind the success of any organisation.

Risk management has become a priority for businesses all over the world, particularly the pharmaceutical industry.

Today’s world is data-driven. From your phone, to your laptop, to your smart home devices, everyday data is being generated in the quintillions. This can be a mess, especially if you run a business.

Every organization wants its employees to make more informed data-driven choices. To better identify where they can give better onboarding and documentation, the customer support teams looks for patterns in support requests or do text analysis on interactions.

Amazon Web Services (AWS) is a great way to reduce costs and increase efficiency, but even the best of systems can be improved.