When it comes to Data analytics and AI, TechStar comprehends the significance of governance structures and innovative systems. As an advanced analytics company with expertise in Azure AI services, we possess the necessary domain experience to enable you to fully harness the potential benefits of AI. We believe that it's not just about adopting AI, but about unlocking its true potential for long-term business transformation and short-term wins.
Our Azure data analytics team of experts can work with you to develop customized governance structures that align with your data modernization journey and implement data analytics and artificial intelligence.
In order to produce better results and business benefits, TechStar Data Analytics and AI Services assist organizations in transforming legacy data estates to cloud-based technologies and architecture. Our data and artificial intelligence (AI) services are based on Azure Data Platform, Azure App Services, Azure SQL DB, Power BI, Azure Data Lake, Azure Data Factory, and Azure Cognitive Services and are divided into the following:
Our data and analytics consulting services provide design-led and framework-based solutions to optimize the roadmap for data-enabled enterprises and decisions.
To create contemporary data ecosystems, our consultants combine data modernization and skills in data engineering, cloud, data privacy, and compliance with their knowledge of proprietary frameworks and maturity models. Techstar’s data engineering offerings include advisory, implementation, and operating services.
As a part of Analytics as a Service (AaaS) we embrace Power BI Development services for analytics and visualization to build a fully customized data analytics platform for in-cloud data analysis. Techstar, provides end-to-end analytics as a service, supported by Azure.
Data science as a service facilitates organizations to gain business insights using advanced analytics technologies, including deep learning, without relying on in-house data science capabilities. Techstar provides Microsoft Azure-enabled Data Science services with an integrated DevOps approach backed by Machine Learning Operations (MLOps).
Our easy but in-depth engagement model is specifically designed to help businesses operationalize AI and drive quick insights. We understand that businesses today need to keep up with the rapidly evolving technological landscape to stay competitive. That's why we have developed a four-stage engagement model that simplifies the process of AI adoption while providing in-depth insights that drive quick results.
We have identified areas for AI implementation, we develop a customized plan that outlines the strategies we will use to achieve quick insights. This plan is tailored to the specific needs of our clients and includes the tools, algorithms, and techniques we will use to implement AI.
Using a combination of our expertise and industry best practices to implement AI in a way that delivers quick insights. We ensure that the data is clean, structured, and ready for analysis. We also monitor the implementation to ensure that it meets the expected outcomes.
We assess the effectiveness of the AI implementation and the insights it has generated. We analyze the data and metrics to identify the areas where the implementation has been successful and those that require further improvement.
Highly manageable data and faster access to critical data.
Gain a more accurate understanding of actual operational performance by incorporating better data quality into business workflows.
Allow data scientists to focus on higher-value analytics tasks rather than the challenges of DevOps and data engineering.
Customer service and support gaps are highlighted by in-depth SLA analytics.
Recognize and avert potential legal problems and fines before they arise, especially in highly regulated sectors like healthcare and financial services
via increased automation, reduced storage requirements, and licensing of applications and services.
Predictive analytics provide insights into emerging trends, helping to focus future development and innovation efforts.
An integrated team of data scientists, data analysts, data lake engineers, computational linguists, and AI developers can meet the demands of any analytics project.
Understand present and long-term objectives by continuously researching and developing information management and artificial intelligence (AI) solutions.
Leveraging automated tools and workflows, data fabric blueprint, to build a modern foundation for businesses
with a data governance strategy and a unified console, we can help reduce complexity of your data estate
Take advantage of the team's vast experience in implementing data analytics and machine learning services and solutions to boost ROI and productivity.
Count on knowledgeable operational support for AI services designed to meet the unique needs of each organization.
No matter your business goals, TechStar has the services and solutions to help get you there. Get in touch for a quick call to discuss your needs.Free consultation