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Bridging the Gap between Social Enterprises and Social Impact Investors

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Recently, I got the opportunity to participate in Bangalore CSR Roundtable hosted by Brillio & Equal Innovation in partnership with India CSR on May 3rd 2017.

Some key points from this event I want to share with you all. Before that let me put some light on what is Social Entrepreneurs and Enterprises (SEE) and how this is related to this event.

Social Entrepreneurs and Enterprises (SEE)

It is an initiative of IITK AA, organised and now carried forward in association with IITKGP AA and supported by PAN IIT, IIMA, PAN IIM and ACB.

SEE started as an event and the first SEE focused primarily on awareness and scaling models for Successful Social enterprises. It had speakers and participants from all sectors. During the first edition of SEE one message came out very clearly that there is an increasing gap between social enterprises (not-for-profit or for-profit) and CSR funds/investors.

Second edition of SEE focused on Healthcare and Education. This edition also looked at setting up the framework so that Alumni from IIT’s can effectively engage and contribute to the critical sector.

It brought various social entrepreneurs, philanthropists, thinkers and enthusiasts under one roof. The event allowed great interactive sessions where on one hand the participants got inspired by conviction-led work by speakers and on the other hand various corporate discussed the challenges and their insights. Mr. Paritosh Segal, Co-Founder Sahyog Foundation, led the curation for the event.

After intensive research on challenges faced by social enterprises and impact investors, a framework was launched during the event by Mr. Pradeep Bhargava, President, IITK AA & IITK AA BLR.  Core objectives of the framework is to identify sectors that may be relevant and that may produce visible outcome, list the key impact areas and the key measures, understand and share the feasibility and impact data, build the stakeholders connect as part of SEE ecosystem which comprises financial institutions, CSR, Angel investors, VC’s, mentors, incubation with IIT and partners and entrepreneurs in the impact space.

We discussed on various aspects of CSR funding and pain-points of corporates as well as social enterprises. It was very enthralling for me to know that all these common problems faced by both entities can be resolved through SEE platform.

I would like to highlight a few key challenges and would like to emphasise on the role of SEE framework in resolving these issues:

Lack of trust between corporates and social enterprise world:

It was evident that corporates are willing to release CSR funds for social enterprises, but whom to trust for measurable impact has become a challenge for them. I strongly believe that SEE body can recognise and validate shortlisted social enterprises who genuinely have good model and thus help them sustain and scale. Corporates can have concurrence and decide where to invest.

Impact assessment of social enterprises by corporates:

Second evident challenge for all corporates is to measure the impact created by the social enterprise. One of the solution which was proposed is to have a set template by corporates where social enterprise can fill their outcomes. But the problem with such template is that there are several different enterprises all cannot be measured with the same template. SEE framework can play a crucial role in impact assessment by providing customised template.

Industry standard reporting by social enterprises:

Another point which was brought into discussion was reporting structure and the quality of report. Corporates feel that there is a need for social enterprises to improve on reporting but the fact that social enterprises many a times are not trained to publish their reports in a professional way. It becomes really challenging for corporates to go through the document and validate the report. We at SEE aim to create a pool of identified experts in different domains with social sector background as mentors. These mentors shall bring guidance to social enterprises and shall organize hands-on training sessions on impact measurement, impact assessment and impact reporting. This shall have positive outcome by reducing frustrations for both corporates and social enterprises.

Identifying the key focus area of corporates by social enterprises:

One of the biggest challenge which almost all social enterprises face invariably is to find out the corporates who have same focus area as their own. I recently faced a problem in identifying a CSR who invest in healthcare area. There is no common platform where corporates list their focus areas and social enterprises list their work.

Participation as SEE evangelist

SEE platform has planned to create a database on SEE website for all participants. This is going to ease the very first step of corporate and social enterprise to find the best match.

Social Enterprises

All these and many more benefits can be obtained by signing up for SEE Framework. SEE as a part of Alumni framework is not chargeable. Please register to be part of the SEE ecosystem and all benefits.

Investment community and CSR support from Corporates

They can leverage the curated social enterprises. Investors and CSR teams may share the success stories, the impact areas of their interest and the measures they use in identifying the right enterprise to support.

Accelerators, Incubators, and Mentors ( AIM)

AIM participants work together with the SEE team to ensure high probability of success for the individual enterprise but also contribute to ensure a higher percentage of successful SE. Commercial engagements are also possible after the initial success is registered.

Look forward to you all being part of SEE

 

 

 

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What’s Next in Cloud Optimization? Can We Optimize Costs Without Sacrificing Performance?

Not too long ago, storing data meant dedicating an entire room to massive CPUs. Then came the era of personal computers, followed by external hard drives and USB sticks. Now, storage has become practically invisible, floating somewhere between data centers and, well, the clouds—probably the ones in the sky. Cloud computing continues to evolve, As cloud computing evolves, optimizing costs without sacrificing performance has become a real concern.  How can organizations truly future-proof their cloud strategy while reducing costs? Let’s explore new-age cloud optimization strategies in 2025 designed for maximum performance and cost efficiency.

Smarter Cloud Strategies: Cutting Costs While Boosting Performance

1. AI-Driven Cost Prediction and Auto-Optimization

When AI is doing everything else, why not let it take charge of cloud cost optimization too? Predictive analytics powered by AI can analyze usage trends and automatically scale resources before traffic spikes, preventing unnecessary over-provisioning. Cloud optimization tools like AWS Compute Optimizer and Google’s Active Assist are early versions of this trend.

  • How it Works: AI tools analyze real-time workload data and predict future cloud resource needs, automating provisioning and scaling decisions to minimize waste while maintaining performance.
  • Use case: Netflix optimizes cloud costs by using AI-driven auto-scaling to dynamically allocate resources based on streaming demand, reducing unnecessary expenditure while ensuring a smooth user experience.

2. Serverless and Function-as-a-Service (FaaS) Evolution

That seamless experience where everything just works the moment you need it—serverless computing is making cloud management feel exactly like that. Serverless computing eliminates idle resources, cutting down costs while boosting cloud performance. You only pay for the execution time of functions, making it a cost-effective cloud optimization technique.

  • How it works: Serverless computing platforms like AWS Lambda, Google Cloud Functions, and Azure Functions execute event-driven workloads, ensuring efficient cloud resource utilization while eliminating the need for constant infrastructure management.
  • Use case: Coca-Cola leveraged AWS Lambda for its vending machines, reducing backend infrastructure costs and improving operational efficiency by scaling automatically with demand. 

3. Decentralized Cloud Computing: Edge Computing for Cost Reduction

Why send all your data to the cloud when it can be processed right where it’s generated? Edge computing reduces data transfer costs and latency by handling workloads closer to the source. By distributing computing power across multiple edge nodes, companies can avoid expensive, centralized cloud processing and minimize data egress fees.

  • How it works: Companies deploy micro data centers and AI-powered edge devices to analyze data closer to the source, reducing dependency on cloud bandwidth and lowering operational costs.
  • Use case: Retail giant Walmart leverages edge computing to process in-store data locally, reducing latency in inventory management and enhancing customer experience while cutting cloud expenses.

4. Cloud Optimization with FinOps Culture

FinOps (Cloud Financial Operations) is a cloud cost management practice that enables organizations to optimize cloud costs while maintaining operational efficiency. By fostering collaboration between finance, operations, and engineering teams, FinOps ensures cloud investments align with business goals, improving ROI and reducing unnecessary expenses.

  • How it works: Companies implement FinOps platforms like Apptio Cloudability and CloudHealth to gain real-time insights, automate cost optimization, and enforce financial accountability across cloud operations.
  • Use case: Early adopters of FinOps were Adobe, which leveraged it to analyze cloud spending patterns and dynamically allocate resources, leading to significant cost savings while maintaining application performance. 

5. Storage Tiering with Intelligent Data Lifecycle Management

Not all data needs a VIP seat in high-performance storage. Intelligent data lifecycle management ensures frequently accessed data stays hot, while infrequently used data moves to cost-effective storage. Cloud-adjacent storage, where data is stored closer to compute resources but outside the primary cloud, is gaining traction as a cost-efficient alternative. By reducing egress fees and optimizing storage tiers, businesses can significantly cut expenses while maintaining performance.

  • How it’s being done: Companies use intelligent storage optimization tools like AWS S3 Intelligent-Tiering, Google Cloud Storage’s Autoclass, and cloud-adjacent storage solutions from providers like Equinix and Wasabi to reduce storage and data transfer costs.
  • Use case: Dropbox optimizes cloud storage costs by using multi-tiered storage systems, moving less-accessed files to cost-efficient storage while keeping frequently accessed data on high-speed servers. 

6. Quantum Cloud Computing: The Future-Proof Cost Gamechanger

Quantum computing sounds like sci-fi, but cloud providers like AWS Braket and Google Quantum AI are already offering early-stage access. While still evolving, quantum cloud computing has the potential to process vast datasets at lightning speed, dramatically cutting costs for complex computations. By solving problems that traditional computers take days or weeks to process, quantum computing reduces the need for excessive computing resources, slashing operational costs.

  • How it works: Cloud providers integrate quantum computing services with existing cloud infrastructure, allowing businesses to test and run quantum algorithms for complex problem-solving without massive upfront investments.
  • Use case: Daimler AG leverages quantum computing to optimize battery materials research, reducing R&D costs and accelerating EV development.

7. Sustainable Cloud Optimization: Green Computing Meets Cost Efficiency

Running workloads when renewable energy is at its peak isn’t just good for the planet—it’s good for your budget too. Sustainable cloud computing aligns operations with renewable energy cycles, reducing reliance on non-renewable sources and lowering overall operational costs.

  • How it works: Companies use carbon-aware cloud scheduling tools like Microsoft’s Emissions Impact Dashboard to track energy consumption and optimize workload placement based on sustainability goals.
  • Use case: Google Cloud shifts workloads to data centers powered by renewable energy during peak production hours, reducing carbon footprint and lowering energy expenses. 

The Next Frontier: Where Cloud Optimization is Headed

Cloud optimization in 2025 isn’t just about playing by the old rules. It’s about reimagining the game entirely. With AI-driven automation, serverless computing, edge computing, FinOps, quantum advancements, and sustainable cloud practices, businesses can achieve cost savings and high cloud performance like never before.

Organizations that embrace these innovations will not only optimize their cloud spend but also gain a competitive edge through improved efficiency, agility, and sustainability. The future of cloud computing in 2025 isn’t just about cost-cutting—it’s about making smarter, more strategic cloud investments.

At Mantra Labs, we specialize in AI-driven cloud solutions, helping businesses optimize cloud costs, improve performance, and stay ahead in an ever-evolving digital landscape. Let’s build a smarter, more cost-efficient cloud strategy together. Get in touch with us today!

Are you ready to make your cloud strategy smarter, cost-efficient, and future-ready with AI-driven, serverless, and sustainable innovations?

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