A recent study by UiPath has shown that 93% of US IT executives are “extremely or very interested” in applying agentic AI to their business, with 45% ready to invest this year. This growing interest shows a huge shift in the world of artificial intelligence, moving beyond the capabilities of current AI systems, such as ChatGPT, which primarily focus on generating content in response to specific prompts. Instead, we are entering the age often referred to as “The Third Wave of AI” i.e. agentic AI, the next generation of AI that can operate more autonomously, making decisions and taking actions with minimal human intervention. This shift has the possibility to overturn various industries and aspects of our daily lives.
Read moreAll posts by Abhilash Shukla
Is India actually AI ready? Do we have AI for Bharat?
Is India’s AI revolution leaving its own people behind? We’re building AI for the world, but is India benefiting from its own AI advancements?
Is AI in India empowering or excluding? Who is really benefiting from our AI boom? If AI is the future, why is it still so inaccessible for most Indians?
I know, all these questions might sound very negative, but I really wanted to ask questions precisely, so that we can evaluate better answers for us, us I mean, 𝙪𝙨 𝙩𝙝𝙚 𝙄𝙣𝙙𝙞𝙖𝙣𝙨.
→ On one side, Indian startups like Uniphore, Fractal Marketing & Analytics, and Innovaccer are making global waves.
→ The Government of India is actively pushing AI initiatives, projects like BHASHINI to tackle language barriers and the IndiaAI Mission to build a national AI ecosystem.
But there is another side of the story that we all shy to speak about:
AI in India is booming as a service provider to the world, but, within the country, its benefits aren’t reaching to its own millions of people.
Why?
Read moreAI playing a big role in ICC (Cricket) Champions Trophy 🏆
Cricket has always been about gut feeling, experience, and figuring things out after the game. But now, artificial intelligence (AI) and generative AI (GenAI) are changing the way we receive the real-time updates, i.e. right where it’s happening.
Picture this: a fast bowler charging in, the batsman getting ready, and up in the commentary box, an AI’s already guessing where the ball’s gonna go, checking past data, and changing the odds of winning, all before the ball’s even left the bowler’s hand! And yes, this is not some sci-fi talk, it’s what has started happening already.
AI is constantly reading player biomechanics, identifying fatigue before injuries occur, and even suggesting optimal field placements based on a batsman’s weaknesses.
And when you think further, even broadcasters are leveraging AI based storytelling, which helps them to personalize highlights based on fan preferences, and even translating commentary into multiple languages in real time. At the same time, social media AI engines are tracking sentiment shifts with every six, wicket, and turning point, giving a real-time pulse on fan reactions across the globe.
So the point is that, AI is saving thousands of research hours that once went into manual video analysis, performance tracking, and match reviews. The result? Faster insights, sharper strategies, and an enhanced viewing experience like we have never seen before.
In this newsletter we will explore the same.
Read moreDeepSeek AI costed me $2675 in 12 days 😡
It was a real fight to deploy a large-scale LLM. DeepSeek AI was becoming the star, and so its 67B model appeared exciting to me as I was curious to see if I could make this model work outside of an enterprise-grade setup.
Unlike researchers working at OpenAI, Google, or Meta, I don’t had access to a corporate high-performance computing (HPC) cluster. No racks of NVIDIA H100 GPUs, no enterprise-scale TPU pods, no institutional grants funding for my experiment. But with all these buzz around the low-cost and efficient DeepSeek model, I was very much fascinated.
I immediately saw the potential of running a powerful LLM on my own infrastructure, so that I can research, experiment, and try some custom applications. It was something that I wanted to explore because a lot of my enterprise clients were asking questions for on-premise deployment, which were raising a lot of what-ifs in my mind.
𝐓𝐡𝐞 𝐤𝐞𝐲 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧 𝐰𝐚𝐬…
Is it even feasible to deploy such a large model on a cloud platform like AWS or GCP as an individual?
- Can I afford the compute costs without burning through thousands of dollars?
- Will a CPU-only approach work, or is it non-viable?
At first, I thought cloud computing would make this relatively easy. After all, Amazon Web Services (AWS) and Google Cloud Platforms have this on-demand access to high-performance hardware. But…
𝐈 𝐰𝐚𝐬 𝐰𝐫𝐨𝐧𝐠.
Read moreChatGPT or DeepSeek AI – which one is the right choice for you?
OpenAI ChatGPT and DeepSeek AI is not only learning chatbots, they’re full-fledged AI assistants that can write, code, problem-solve, and even weigh in on ethical questions. I have been working with them side-by-side since past one month and my findings stunned me in more ways than I can explain. So, drafting my learnings so far with the intent that it might help you to decide which one is the right choice for yourself.
Let’s break it down:
👉 ChatGPT (OpenAI): It is known for its smooth, natural conversations, creativity, and adaptability. I believe, its a go-to for content creation, brainstorming, and engaging dialogues.
👉 DeepSeek: Cool and budget-friendly option that leans on logic, technical accuracy, and efficiency. It is more focused on getting precise answers than creative storytelling.
But here are the parameters I evaluated them on:
🔹 Performance: Which one responds faster and with more reliability?
🔹 Cost vs. Value: Is DeepSeek’s lower price worth it?
🔹 Coding & Content: Who does better at complex programming and writing tasks?
🔹 Ethics & AI Safety: How do they handle biases and responsible AI use?
AI cannot be perceived as RPA anymore — The rise of AI 🌞
Artificial Intelligence (AI) was initially confused with RPA (Robotic Process Automation), which focused on automating repetitive tasks. RPA was essentially rule-based, handling processes like data entry, invoice processing, or customer service inquiries. It wasn’t “smart” in the way AI is today—it followed strict, predefined commands.
Back in 2000s, RPA was the closest thing to AI that many companies were implementing. It made work faster but didn’t involve any decision-making or learning. Think about early chatbots or even Microsoft Clippy Assistant. These tools could execute commands but couldn’t “learn” from their interactions.
What Product Manager can bring to the table?
In every organization, there is a role that requires balancing many tasks and handling high expectations. Product Manager is set for such jobs, one that often goes unrecognized. PMs work behind the scenes to bring teams together, guide projects through challenges, and ensure ideas turn into outcomes. Yet, their efforts are rarely acknowledged in a direct way.
When projects succeed, the spotlight tends to shine on those in more visible roles, like designers or engineers. The person who made sure everything stayed on track is often overlooked. This makes product management a unique role where success is measured by how well things work, rather than by what can be easily seen or quantified.
A product manager’s job is even harder because it involves leading without direct authority. Product Manager motivate teams that may have different priorities, turning broad goals into plans that everyone can follow. They keep things moving despite shifting demands and daily hurdles.
Despite these efforts, many PMs feel they could be doing more. This sense often comes from the nature of their work, which doesn’t produce visible outputs like a finished design or a line of code. Instead, their achievements are found in smoother processes and clearer direction, things that are harder to highlight or explain.
The truth is, product managers play a key part in keeping things running. They connect ideas, people, and plans in a way that keeps progress steady. But if they don’t share their contributions, nobody else will. Without their efforts, even the best ideas might struggle to succeed.
Continue reading What Product Manager can bring to the table?A comprehensive list of 2024 AI predictions 👽
The global AI market was already worth more than US$150 billion by the end of 2023. According to one of the reports, the global AI market will reach US$1350 billion by 2030, and this upward journey surely begins from 2024. The idea of this icon 👽 might have set the tone of my predictions for this year. Trust me, we are going to witness unimaginable AI implementations in 2024. The breakthroughs of Generative AI in 2023 has setup a dramatic momentum for 2024, and our expectations have risen to a next level. Everyone is waiting for the “Aliens” to appear this year, I mean not literally, but I guess you understand the sentiments.
Before I start, there are pretty obvious things which are going to happen in 2024, like OpenAI‘s GPT-5 will be launched, Generative AI will become a technology risking most jobs by any tech-disruption, and on contrary setting up stage for people with plethora of opportunity in new job-roles — like prompting efficiently. And the start of the year will face a dramatic AI startup-stress because of the business models that are too much affected by OpenAI’s release of add-ons.
“It has become appallingly obvious that our technology has exceeded our humanity” — Albert Einstein
I am very optimistic about this year, but at the same time I am cognizant of the fact that this year is also going to daunt us a lot. And its because we haven’t yet lifted ourselves to the maturity which this technology demands, and I am specifically concerned with the pace of Generative AI’s access to common people in its raw form. So to start with, the table of contents below should clear how I am picturing this for the year 2024.
2023 AI Wrap-up (auto9mous Newsletter)
Its amazing to see how AI adoption happened in the year 2023. With all the Generative AI use cases and new products, last year felt like evolving at an unprecedented speed. Reading through all the stories and posts by AI Influencers, Entrepreneurs, Domain Experts, and literally “Common People“, was so overwhelming. I would call the year 2023, an year of defining the new AI tech-disruption of this decade…
Analyzing the effects of unseasonal rain on farming
Rain usually brings a sense of renewal, but in the world of farming, it’s not always a welcome occurrence. As much as rain is essential for crops and farming, when it falls unexpectedly or in an unseasonal manner, it can become more of a problem than a benefit.
In agriculture, rain is like a lifeline. It sets the rhythm for when to plant and when to harvest. Farmers have long relied on predictable weather patterns for successful farming. But what happens when these patterns change, and rain becomes unpredictable?
Unplanned rain, especially when heavy and out of season, can create numerous challenges for farmlands. It can wash away seeds, ruin ripe crops, and lead to soil erosion and diseases.
These challenges are becoming more common with changing climate patterns. In this blog, we will explore the specific problems caused by unplanned rain in agriculture, the crops most vulnerable to it, and how different regions are coping with these changes. We will also look at adaptive farming practices, the role of technology and forecasting in mitigating these effects, and what policies can support farmers in these unpredictable times.
Dealing with unplanned rain in agriculture is a complex issue at the intersection of environmental change and agricultural sustainability. It’s a topic that demands our attention for the sake of food security and the livelihoods of farmers worldwide. Let’s dive in and see why, in farming, not all rain is beneficial.
The Challenges of Unplanned Rainfall in Agriculture
The unpredictability of rainfall patterns has many challenges for agriculture. While rain is essential for crops, its erratic nature can have a multitude of adverse effects on farming operations. Let’s break down these challenges to understand the full impact of unplanned rain on agriculture.
Disruption of Farming Schedules
The most immediate effect of unplanned rain is the disruption of planting and harvesting. In farming, timing is critical. Seeds need the right conditions to germinate, and crops need to be harvested at the right time. Unexpected rainfall can wash away newly planted seeds or spoil crops that are ready for harvest. This not only affects the yield for the season but can also disrupt the entire farming calendar, leading to financial strain for farmers.
Risk of Crop Diseases and Pests
Excess moisture creates a perfect environment for the spread of fungal diseases and pests. Diseases like blight and rust prosper in wet conditions, damaging crops and reducing yields. Also, pests, which can be more prevalent during wet periods, can cause too much of a damage to the crops. This leads to increased costs for farmers in terms of pest control and can sometimes result in total crop loss as well.
Soil Erosion and Nutrient Leaching
Heavy rains can also lead to soil erosion, stripping away the fertile top layer of soil, which is very important for crop growth. Along with the soil, essential nutrients are also washed away, reducing the land’s fertility over time. This not only impacts the current crop yield but can also affect the long-term productivity of the farmland.
In various parts of the world, farmers face these challenges differently. In the Midwestern United States, for instance, unexpected spring rains have delayed planting seasons, impacting crop yields. In parts of Asia and Africa, unseasonal rains have led to widespread crop diseases, affecting food security and livelihoods.
These challenges shows the need for effective management strategies in agriculture to cope with changing weather patterns. It’s not just about understanding the problem but about finding and implementing solutions that can help farmers navigate through these unpredictable conditions.
Impact on Different Types of Crops
We first need to understand how different crops react to such conditions. It’s intriguing yet concerning to see how diverse the effects can be. Some crops are incredibly sensitive to excessive moisture, while others might tolerate or even benefit from it, but only to a certain extent.
Take, for instance, wheat and rice. Wheat, typically grown in drier conditions, is highly susceptible to fungal diseases like rust and smut, which grow in wet conditions. Unexpected heavy rain can not only facilitate these diseases but also lead to lodging, where the stems break, rendering the crop unusable. On the other hand, rice, which is accustomed to wet conditions, can withstand a certain level of unplanned rain. However, if the rain is excessive, it can flood rice fields beyond their capacity, leading to crop damage.
Then there are fruits and vegetables, each with its unique sensitivity to rain. Tomatoes and grapes, for instance, are prone to splitting or cracking with sudden heavy rains, affecting both yield and quality. Leafy greens like spinach and lettuce might initially grow with extra water but can quickly become waterlogged, leading to root rot and other diseases.
Global Examples and Case Studies
To explore the global impact of these phenomena, let’s travel across continents. In Europe, vineyards are often at the mercy of unseasonal rains, which affect grape quality and, consequently, the wine industry. In contrast, in parts of India, unpredictable monsoon patterns disrupt the sowing and harvesting of staple crops like pulses and millets, directly impacting food security and livelihoods.
In Australia, a country known for its variable climate, farmers often face the challenge of drought followed by sudden heavy rains. This pattern not only affects crop production but also leads to soil erosion and nutrient loss, impacting the long-term viability of farmlands.
These examples from around the world shows a picture of the broader challenges faced by farmers due to unplanned rain. They indicate the need for adaptable farming practices and robust support systems to safeguard against these unpredictable weather patterns. As we learn and explore these adaptive strategies, we’ll discover how innovation, technology, and policy can work together to provide solutions for a more stronger agricultural future.

Adaptive Farming Practices for Unpredictable Rainfall
As I learn more about agriculture, I’m amazed by how farmers are dealing with unpredictable rainfall. They’re finding clever ways to adapt, blending innovation with traditional wisdom to find solutions. Let’s see some of these smart farming practices that are making a positive impact.
1. Soil Management and Conservation Techniques:
- Cover Cropping: Planting cover crops like clover or ryegrass helps prevent soil erosion and retains soil moisture.
- Mulching: Using organic or inorganic mulches protects the soil from erosion and conserves moisture.
- No-till Farming: This method reduces soil disturbance, maintaining soil structure and preventing erosion.
2. Water Management Innovations:
- Rainwater Harvesting: Collecting and storing rainwater for irrigation during dry spells.
- Drip Irrigation: Efficient water usage through drip irrigation systems ensures that crops receive water directly at their roots, minimizing waste.
- Contour Farming: Planting across a slope following its elevation contour lines helps in capturing rainfall effectively and reducing soil erosion.
3. Crop Diversification and Resilient Varieties:
- Diversifying Crops: Growing a variety of crops can minimize the risk of total crop failure due to unexpected weather conditions.
- Resilient Crop Varieties: Selecting crops that are more tolerant to excessive moisture or resistant to common diseases prevalent during wet conditions.
4. Adjusting Planting and Harvesting Schedules:
- Adapting the timing of planting and harvesting to account for the changes in rainfall patterns.
5. Integrated Pest and Disease Management:
- Biological Control: Using natural predators or biopesticides to control pest outbreaks that might occur due to wet conditions.
- Regular Monitoring: Keeping a close eye on crops for early signs of disease or pest infestation.
The Role of Technology and Forecasting
Advances in technology and weather forecasting are also playing a key role. Accurate weather predictions allow farmers to make informed decisions about planting and harvesting times. Technologies like satellite imagery and AI-driven analytics are helping in better understanding and predicting weather patterns. I will make a detailed post for this one later, but its a great advancement which is playing a major role.
Policy Implications and Support Systems
With these unpredictable rainfall patterns, the role of policy and support systems becomes very important. Effective policies can provide the backbone for resilience and adaptation in the agricultural sector. Let’s explore how policy and support can make a difference.
1. Incentivizing Sustainable Agricultural Practices:
- Governments can offer subsidies or tax incentives for adopting sustainable practices like rainwater harvesting, organic farming, and precision agriculture.
- Policies promoting soil conservation, crop diversification, and water-efficient irrigation techniques are also essential.
2. Funding for Research and Development:
- Investing in agricultural research to develop drought-resistant and flood-tolerant crop varieties.
- Encouraging the development of innovative farming technologies and practices through grants and funding initiatives.
3. Insurance and Financial Support Systems:
- Providing affordable crop insurance schemes to protect farmers against the financial risks of unpredictable weather patterns.
- Offering low-interest loans and financial assistance for farmers affected by unseasonal rains and related crop failures.
4. Infrastructure Development:
- Building robust infrastructure for water management, including reservoirs, canals, and efficient drainage systems to cope with excess rainfall.
- Developing rural infrastructure to ensure quick and efficient transport and storage of produce during unexpected weather events.
5. Climate Information and Advisory Services:
- Establishing localized weather stations and climate advisory services to provide farmers with timely and accurate weather forecasts and agricultural advice.
6. International Cooperation and Knowledge Exchange:
- Promoting global collaboration in climate resilience research and sharing of best practices in agricultural adaptation strategies.

Closing Note
So, while the challenges created by unplanned rainfall in agriculture are horrific, the integration of adaptive farming practices with supportive policies and technological advancements can lead a way to handle things. As a society, our ability to adapt, innovate, and support our agricultural communities will be necessary in ensuring food security and the well-being of future generations. It is a collective responsibility, requiring the involvement of governments, private sectors, communities, and individuals. Together, we can build a more resilient and sustainable agricultural system, capable of withstanding the unpredictabilities of our changing climate.