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Accelerate Your Digital Transformation
Harness the incredible potential of AI and ML to innovate, foresee, and lead the way into a groundbreaking future.
Sift through your ever-growing mountain of data & find nuggets to make better decisions.
Unleash Large Language Models (LLMs) and Generative AI for unparalleled business expansion, growth and innovation.
Get increased business value by improving agility, scalability, and security while reducing costs.
Have a finger on the pulse of your business, get a unique perspective and Identify new opportunities for growth and...
Leverage our Custom AI Solutions with artificial intelligence and machine learning capabilities to unlock your data's potential.
We provide comprehensive app modernization solutions to assist enterprises in optimizing their technology investments and get the best returns.
Our cloud-managed service provides a comprehensive range of cloud solutions aimed at maximizing the value of your investment and quickly adapting to changes.
Industries We Serve
Generating Business Value Across Industries
Helping COOs Optimize Business Performance
To understand the business performance across regions, the COO looks for the common department and business scenarios such as inventory performance, warehouse operating expenses, shipping time, and more.
Taking The Data-Driven Path to Market Better
Retail Manufacturing Data Analytics report enables organizations to use powerful tools and a data-driven approach to make intelligent decisions. It allows businesses to analyze and follow up on progress and study consumer behaviors.
Delivering Firsthand Insights To CMOs To Improve Revenue
CMO is seeking information to understand the business performance across key regions and comprehend the best GTM tactics to lead into the campaign and strive for better ROI among multiple demographic groups progressing towards better future campaigns.
The Scenario Allows CFOs to Understand Growth Avenues
The CFO is looking to comprehend the business performance across the key countries and regions. This particular demo presents usual finance department business scenarios explaining revenue growth and profitability, planning, analysis, and expense management.
Assisting Service Providers to Improve Performance
The purpose-built insights solution for call center insights enables useful information delivery to the right individuals, assisting in performance improvement in usual call center operations. This solution keeps track of all the important information, including dates, times, and durations of all the steps, and mitigates any potential risks, including dropped calls, increasing resource requirements, and more. Furthermore, the solution covers agent-level insights such as periodic performances, additional support provision, business assistance, and more.
Presenting Information The Right Way
This solution helps gather and compile important data from the organization and present it through a dashboard. By bringing together all the IT asset information and developing relations with financial information, it provides complete health of the IT infrastructure that is critical to your business growth.
Making Your Sales Ever-Smooth & Seamless
This report provides an aerial view of the available opportunities in the company. The Sales Pipeline report will assist the managers in finding out the right information, such as in which city, region, or year the opportunities have been won or lost, and find probable reasons behind it. Also, detailed CRM reports like these can be used for multiple industries where CRMs have been deployed to manage sales.
Enabling Chief Medical Officers to Bridge Gap Between Workforce and Patients
AI-powered chatbots and virtual assistants can help bridge the gap between the rising demand for healthcare services and the limited number of healthcare providers. These can provide patients basic medical advice, triage, and other non-emergency services. It can also save valuable time for healthcare providers, allowing them to focus on more complex cases and ensuring that patients timely receive the care they need.
Helping CDOs & CTOs Manage Healthcare Data with Authority Through AI/ML
Leveraging AI and ML algorithms can help healthcare providers make sense of this vast amount of data, providing insights into patient outcomes, identifying patterns and trends, informing diagnosis and treatment recommendations, and managing the data better. These technologies can analyze large datasets of patient records, medical images, and genomic data to make these predictions and recommendations.
Assisting CIOs to Access Computing Resources & Control Hardware Costs for Faster Decision Making
The advancements in computing power and declining hardware costs have opened new possibilities in the healthcare industry. High-performance computing clusters can run complex simulations and model diseases, drug interactions, and clinical trials. This can enable healthcare providers to make faster and more accurate decisions, leading to better patient outcomes.
Making Healthcare Costs Easy-to-Manage for COOs
Developing AI-powered algorithms can help healthcare providers optimize resource allocation, reduce waste, and improve operational efficiency in hospitals and healthcare systems. This can help reduce costs while improving the quality of care for patients. AI-powered algorithms can analyze data from various sources, including patient records and supply chain data, to identify zones where costs can be reduced without sacrificing patient care.
Ensuring Improved Partnerships & Collaborations
Collaboration and data sharing across multiple organizations are increasingly important in today's healthcare industry. Establishing collaborative data-sharing platforms and networks can enable seamless data exchange and analysis across hospitals, research institutes, and pharmaceutical companies. This can accelerate research, improve treatment outcomes, and help identify new approaches to healthcare challenges.
Expediting Drug & Vaccine Development Process for Pharma & Biotech Companies
Developing new drugs or vaccines is time-consuming and costly for pharmaceutical and biotech companies. The use of AI technology can help expedite the drug discovery and development process. AI-powered algorithms can identify potential drug targets, predict drug efficacy and safety, and optimize clinical trial design, leading to faster drug development timelines and better patient outcomes.
Enabling Manufacturers to Improve Using Data
To accurately visualize and present the focus points, the Manufacturing Analysis report is used to identify where production drops and gets attention to the data touchpoints that allow for reducing delays and improving the production line.
Taking The Data-Driven Path to Market Better
Retail Manufacturing Data Analytics report enables organizations to use powerful tools and a data-driven approach to make intelligent decisions. It allows businesses to analyze and follow up on progress and study consumer behaviors.
Helping Towards Sustainable Workforce Management
A complete solution encompassing everything inclusive of analytics and reporting that allows you to discover meaningful, useful insights related to human resources headcount, their effectiveness, and more. It allows HR professionals to make better data-driven decisions.
Presenting Information The Right Way
This solution helps gather and compile important data from the organization and present it through a dashboard. By bringing together all the IT asset information and developing relations with financial information, it provides complete health of the IT infrastructure that is critical to your business growth.
Assisting COOs in Ensuring Long-term Equipment Effectiveness
This solution allows COOs to look after their equipment effectively, use sensor data and analytics, closely monitor their equipment performance in real-time, and predict when maintenance is needed. The cloud can fast-process vast volumes of data to extract real-time insights, leading to cost-effective and efficient operations.
Building Accurate Reservoir Models to Optimize Production
This solution helps companies assess their capacity, requirements, and demand and build accurate reservoir models, eventually leading to optimized production and better recovery rates. These models function by incorporating data gathered from multiple sources, such as seismic imaging, historical production data, sensors, and more.
Improved Decision-Making for Future Investments
Using cloud and analytics, this solution helps oil and gas companies centralize their assets data and manage it effectively. This allows them for improved decision-making around maintenance schedules and investment in new equipment.
Enhancing Supply Chains Ops for Better Yield
This solution enables oil and gas companies to dive deep into their data and gain insights regarding their supply chains, allowing them to identify inefficiencies and anomalies and capitalize on opportunities for process optimization. Using the cloud, real-time collaboration, and sharing data among stakeholders make supply chain operations more effective, resulting in better yield.
Real-Time Monitoring of Environmental Factors & Human Safety
Through the cloud's real-time processing, organizations can monitor any external environmental factors, such as air and water quality, enabling them to be aware of any potentially harmful impacts. This also helps companies ensure their workforce's safety, avoiding any hazardous operations that may result in a catastrophe.
Streamlining Production Planning & Exploration for CXOs
This solution helps CXOs gather and analyze data from various sources. The seismic imaging data, geological surveys, historical product data, and other sensor data can be processed through cloud analytics tools to help oil and gas exploration companies to be more specific with their exploration and production planning, reducing risks and improving overall efficiency, leading to ideal results.
See How Organizations Are Innovating
+4x Increase in marketing agility by reducing time-to-market for recommendation models
Situation
Online fashion retailer ASOS had two intermeshed goals: to craft one data model solution where there would have been three, and to give its data science teams a satisfying, productivity-boosting collaboration model.