Enterprises Changed: Making Cloud Innovation Scalable.
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Use a data and AI cloud strategy to make your business more flexible and better at predicting the future, while also getting the most out of your investment.
Most of the biggest companies use cloud services to speed up their digital transformation, which means that almost all businesses use cloud services.
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A large number of businesses spend more than $1.2 million a year on the cloud. As AI and analytics become more common, about one-third of businesses spend more than $12 million a year.
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Companies that use AI-enabled cloud services have seen their efficiency improve every year, which has made them more innovative, adaptable, and able to scale up to new solutions.
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As cloud computing becomes more and more popular, experts say that the total revenue from public cloud services around the world will reach an incredible $500 billion by 2023.
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- Cloud advisory and roadmapping for strategy
- Migration and cloud modernisation solutions
- Orchestration for Hybrid and Multi-Cloud
- Governance of Cloud Security and Compliance
- Services for Cloud Cost Optimisation and FinOps
- Planning for business resilience and cloud continuity
- Serverless Enterprise Enablement
- Cloud-Native App Engineering
- Integration of Edge and IoT Cloud
- DevOps Automation for Cloud Ecosystems
- Cloud Intelligence Services Powered by AI
This is always possible if you have strong security.
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More people use intelligent cloud apps and services.
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More than 120 projects finished.
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This project makes and uses cloud-native AI models to keep an eye on and improve drilling assets in real time, which makes upstream operations smarter. By using IoT sensors and predictive data analytics, we improved the efficiency of our operations and the number of pieces of equipment we had, which led to a 37% drop in downtime. Now, dashboards that show results help leaders manage the field better.
We went through many stages of cloud transformation to build a cloud data lake that combines decades’ worth of inventory, sales, supply chain, and other data so that we could get reliable real-time insights for making smart decisions. As AI-driven demand forecasting happened, stock-outs fell by 41%. Also, the turnover of inventory doubled. Dynamic marketing automation was also made possible by a customised customer analysis platform. This led to a 35% increase in engagement, a 28% increase in promotional return on investment, and more sales and revenue.
We started a cloud consulting project that put patients’ data into a HIPAA-compliant space. This made clinical workflows better and made it easier for the administration to do its job in one of the biggest healthcare systems in the US. A smart, cloud-based appointment scheduling system made patient flow better. It cut down on wait times by 40% and the time it took to get a diagnosis by 27%. A real-time clinical analytics platform also gave AI-driven insights and predictive alerts, which sped up decision making by 30% and cut down on bad events by 25%.
They built a cloud platform that can grow and work in multiple regions and can handle real-time resource management. This helped us triple our transaction capacity and cut latency by 54%, all without any downtime during a three-fold increase in traffic. Cloud-native analytics handle millions of transactions every day, making sure that fraud detection and compliance reporting are always up to date. Almost one in five of the companies that were interviewed said that using AI-based fraud alerts helped them find more fraud (more than 40%) and made it easier for them to report fraud quickly.
How is project success measured?
To figure out if a project was successful with Neural Network, you need to set both quantitative KPIs and qualitative outcomes at the start of the engagement. Our team will help you set clear goals, such as increasing operational efficiency (for example, cutting manual work by up to 30%), saving money (for example, lowering infrastructure costs by 30%), speeding up cloud migrations or AI deployments (for example, faster cloud migrations or AI deployments), and making your business more resilient or compliant. We see how well the end users are using the solution and if the stakeholders are happy with it. We will keep track of the project’s progress through regular updates, milestone checks, and an open dashboard. This will make sure that the goals are met and kept.
Which industries do you specialize in?
Neural Network is a cloud, AI, data, and automation solutions company that works with many different types of businesses. These are the industries where we’ve had the most success: Healthcare (data migration, advanced analytics tailored to patient care), manufacturing (smart factories, IoT for best performance), retail (customer experiences, advanced analytics), fintech and banking (cloud compliance, fraud detection, secure advanced analytics), oil and gas/petrochemical (asset analytics, predictive maintenance), automobiles (automation, process optimisation), and energy/utilities (smart grid). We have teams of experts who will help you deal with today’s problems and make compliance easier.
What ongoing support do you provide after deployment?
Neural Network promises your success with full, proactive support based on the level of partnership you choose once your solution goes live. Clients can expect a dedicated client success manager, regular system checks, and yearly performance reviews that are planned. We offer expert support for mission-critical systems around the clock. Get timely updates, security patches, and help with problems. To help with adaptation and scaling as needed, our team also offers ongoing training, user enablement materials, and suggestions for how to make things better. When we work with businesses, we help you reach your growth and innovation goals and get the most value out of your investment over time by giving you strategic advice, tracking your governance, and a flexible service model.
What types of businesses benefit most from your cloud, AI, and data consulting services?
We help businesses and fast-growing companies in healthcare, manufacturing, retail, fintech, and other fields make the switch to digital by offering AI, cloud migration, and technology development services.
How do you measure the impact and success of your consulting engagements?
We look at the measurable results our projects have produced, such as better business resilience, faster project delivery, lower costs, better compliance, and more. This helps us show clear proof of ROI on all of our projects.
What is included in a typical consulting engagement or project?
Depending on your chosen tier and goals, we can work together to give you strategic advice and create a roadmap or deliver projects, support governance, or design and deploy a custom AI with full implementation.
Can you help with both cloud migration and modernization of existing infrastructure?
Depending on the regulatory, security, and operational needs of each client, our experts can help with full migration, modernisation, multi-cloud integration, and cost optimisation.
How do you ensure security and compliance during cloud transformation?
Our security frameworks, governance mechanisms, and compliance checks will help you protect your assets in line with industry standards.
More than 120 clients. Infinite Effect.
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© 2025 Neural Network™ | Attharva Enterprrises’ main innovation and technology arm.
Rahoul Joshii is the founder and director.
World Trade Centre, Unit No. 801, 8th floor
Dholepatil Farms Road,
Pune, Maharashtra, 411014
