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Bhusan Chettri Explained Automatic Crop and Soil monitoring using Artificial Intelligence

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2 years ago

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In this article Bhusan Chettri explains how Artificial Intelligence (AI) can be used for monitoring soil and crop conditions with the aid of automatic systems driven by advanced AI algorithms for yielding better crop produce. He describes the steps involved in training such automatic systems and also elaborates on their potential merits and demerits.

“Agriculture is one of the most important sectors for the economy of our country, India. It is the foundation on which the economy of our country stands. The use of artificial intelligence technology in agriculture can increase productivity and efficiency. Artificial Intelligence is being used for identification and detection of diseases, precision farming and many other applications. Machine learning, a kind of artificial intelligence, allows computers to learn and make decisions on their own. In the field of agriculture, machine learning is being used to improve crop yields, reduce costs, and increase efficiency. ”, says Bhusan Chettri an AI researcher who is currently exploring applications of AI in agriculture and weather forecasting.

AI can be used for crop and soil monitoring through the use of sensors and machine learning algorithms. Sensors placed in the field can collect data on various parameters such as temperature, moisture levels, soil nutrient levels, and sunlight intensity. This data can then be fed into machine learning algorithms, which can analyze the data and provide insights on the optimal conditions for crop growth and soil health. From these data the learning algorithms also discover trends and patterns useful for understanding the soil conditions. For example, the algorithm can determine the optimal amount of water and nutrients required for the crops and provide recommendations on when and how to apply these inputs. It can also detect potential issues such as pests or diseases and provide early warning to farmers. Additionally, AI can be used to monitor the health of the soil itself, providing insights on its composition and potential issues such as soil erosion or compaction. This can help farmers take appropriate measures to improve soil health and maintain productivity. The AI system can also alert farmers when soil conditions are not optimal for plant growth and suggest potential solutions. Additionally, AI can be used to monitor crop health and predict potential pest infestations or disease outbreaks, allowing farmers to take preventative measures.

Bhusan Chettri explains that the use of AI technology for crop and soil monitoring is very helpful in getting a good deal of information about the health of crops and the quality of soil. The technology has been used to get the best results on time. With the use of the technology, farmers can easily get access to all the data regarding the condition of their crops and other agriculture activities. It helps in saving time and money. The technology offers accurate analysis on time and helps in reducing environmental damage by farmers.

There exists several free datasets that can be used to train AI (machine learning and deep learning models) for agricultural farming. For example, the Agricultural Research Service (ARS) of the United States Department of Agriculture (USDA) provides a dataset containing images of various crops and plant diseases, which can be used to train machine learning models for crop health monitoring and disease detection. The dataset is freely available and can be used to train machine learning models for crop health monitoring and disease detection. The dataset includes images of different crop species, such as corn, wheat, soybeans, and rice, as well as images of common plant diseases, such as rust, blight, and wilt. The images are labelled with the specific crop or disease, along with additional metadata such as the location and date of the image. The ARS dataset can be used to train deep learning models to recognize different crops and diseases in images, allowing farmers and researchers to monitor crop health and detect potential issues. This can help improve crop yields and reduce the spread of plant diseases. Additionally, the United Nations Food and Agriculture Organization (FAO) provides a dataset containing information on global food production and consumption, which can be used for predictive modelling and analysis of agricultural trends and challenges.

“Furthermore, understanding soil texture is very important towards ensuring healthy crop production. In this direction, it is also possible to train an automatic system for fast and accurate prediction of soil texture using Machine Learning and Artificial Intelligence algorithms.”, says Bhusan Chettri. Following steps need to be followed for this.

  • Collect a large dataset of images of soil textures from a variety of locations and conditions. The dataset should include images of different soil textures, such as sandy, clayey, and loamy, as well as corresponding labels or annotations indicating the soil texture of each image.
  • Use this dataset to train an AI (machine learning or deep neural network model) to recognize different soil textures in images. This would typically involve using a type of neural network called a convolutional neural network (CNN), which is well-suited to image recognition tasks.
  • Validate the trained model using a separate dataset of images to ensure that it is accurate and reliable. This would involve comparing the model’s predictions to the true soil textures of the images in the validation dataset and measuring the model’s performance using metrics such as accuracy and precision.
  • Implement the trained deep learning model in a computer vision system, which would be used to automatically capture and analyze images of soil textures in the field. The machine vision system would need to include hardware components such as cameras and sensors, as well as software components such as image processing algorithms and the trained deep learning model.
  • Test and evaluate the automated monitoring system in the field to ensure that it is able to accurately and reliably predict soil textures in real-world conditions. This would involve collecting images of soil textures using the machine vision system and comparing the system’s predictions to the true soil textures.

Training an AI for automatic crop and soil monitoring

To train an AI (Machine Learning or Deep Neural Network model) for automatic crop and soil monitoring, you would need to gather a large dataset of images and other data related to crops and soils. This dataset would need to include a wide range of examples, such as images of different plant species, growth stages, and soil types, as well as corresponding labels or annotations that indicate the class or category of each example. One can also use the freely available related datasets that were discussed earlier. Once data collection is completed, training of a neural network model is performed by presenting it with the examples in the dataset and adjusting the strengths of the connections between the neurons in the network based on their performance. This process is known as backpropagation and is typically performed using specialized software and hardware tools. During training, the neural network model would learn to recognize patterns and relationships in the data, and it would be able to make predictions or classifications on new, unseen data. The accuracy of the model would be evaluated using a separate set of data that is not used for training, and the model would be refined and improved based on this evaluation. Overall, training a neural network for automatic crop and soil monitoring is a complex and time-consuming process that requires a large dataset and specialized tools and expertise. However, the results can be highly accurate and valuable for agricultural applications.

There are many examples of research efforts to train automatic systems for crop and soil monitoring. Here are a few examples. In one study, researchers trained a CNN to identify and classify different crops in satellite images. The CNN was trained using a dataset of over 100,000 images of crops, and it achieved an accuracy of over 90% on a validation dataset. The trained model was then used to automatically map the distribution of different crops in a study area. In another study, researchers used a combination of machine learning algorithms, including random forests and support vector machines, to predict soil moisture levels from remotely sensed data. The algorithms were trained using a dataset of soil moisture measurements and satellite imagery, and they were able to accurately predict soil moisture levels with an average error of less than 5%. In yet another study, researchers trained a deep learning neural network to classify different soil textures in images. The network was trained using a dataset of over 2,000 images of soil textures, and it achieved an accuracy of over 95% on a validation dataset. The trained model was then used to automatically identify and map soil textures in a study area. Overall, these studies demonstrate the potential of machine learning and deep learning algorithms for automating crop and soil monitoring tasks.

“Overall, developing an automated monitoring system for fast and accurate prediction of soil texture using an image-based deep learning network and machine vision system is a complex and challenging task that requires expertise in machine learning, computer vision, and soil science. However, the resulting system can provide valuable information for agricultural applications.”, says Bhusan Chettri, researcher in AI, Machine Learning and Data Science.

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Appy Pie Unveils Breakthrough Generative AI Model ‘Flawless Text’

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2 days ago

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October 3, 2024

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New Delhi [India], October 3: Appy Pie Design, a leading AI-driven graphic design platform, has introduced a breakthrough addition to its AI image generator models–the “Flawless Text”. This enhancement to the AI Design Generator addresses a common challenge AI-powered image generators face: generating clear, accurate, and contextually appropriate text within images.

Until now, AI-generated images with text have suffered from misspelled words, distorted characters, or inconsistent text placements, making it difficult for users to rely on these tools for professional projects. With Appy Pie’s new model, users can now create images with perfectly legible and accurate text every time.

This advancement brings several notable benefits. It ensures error-free, readable text that integrates seamlessly within images. The model’s enhanced accuracy guarantees that the text aligns perfectly with the visual context, ensuring a professional and polished result. This level of professionalism will instill confidence in users, making it ideal for a wide range of applications, including the creation of graphics with headlines, promotional banners, or any other content where accurate text representation is essential. You can also run this model on your application with seamless integration through the Flawless Text API for ultimate control and precision.

“Our team has been working tirelessly to improve the accuracy of text in AI-generated images,” said Abhinav Girdhar, CEO of Appy Pie. “With this new advancement, we are setting a new industry standard by ensuring that the text generated by our models is error-free.”

Appy Pie’s AI image generator has been a game-changer, empowering diverse users from entrepreneurs and marketers to graphic designers. The new ‘Flawless Text’ model further enhances the platform’s capabilities, giving users even greater control over their creative output. This innovation will particularly benefit those seeking to produce marketing materials, social media graphics, or branding assets where text accuracy is essential, making them feel more in control of their projects.

About Appy Pie

Appy Pie, a Trademark of Appy Pie LLP, is a leading global platform offering a suite of no-code, AI-powered tools, including an app builder, website builder, workflow automation platform, graphic design software, chatbot builder, help desk software, and live chat software, to help businesses and individuals design, build, and automate. With a user-friendly interface and a wide range of customizable templates, Appy Pie empowers users to create professional-grade applications, websites, and automations without any coding expertise. From entrepreneurs to established enterprises, Appy Pie caters to diverse needs by providing innovative solutions for various industries.

For more information, please visit: https://www.appypie.com/design

Media Contact

Abhinav Girdhar

sales@appypie.com

+1 888 322 7617

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U.S.-India Partnership for Fusion Energy Commercialization

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1 week ago

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September 27, 2024

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Kronos Fusion Energy Announces Strategic U.S.-India Partnership to Revolutionize Global Fusion Energy Commercialization

Washington, D.C., September 25, 2024 – Kronos Fusion Energy, a pioneering leader in aneutronic fusion technology, proudly announces a landmark partnership with 11 major Indian companies to scale the commercialization of fusion energy. This strategic collaboration, unveiled during high-level U.S.-India bilateral discussions in Washington, D.C., will drive the production of over 100 fusion energy generators annually, beginning in 2035. The partnership marks a critical leap forward in delivering clean, limitless power on a global scale.

As global energy demands rise and the need for sustainable solutions becomes urgent, fusion energy is poised to be the cornerstone of the world’s energy future. Unlike traditional nuclear energy, fusion offers a path to safe, abundant, and clean energy without the drawbacks of radioactive waste or nuclear weaponization risks. With over 20,000 engineers and 800 scientists, Kronos Fusion Energy is leading the charge, and this U.S.-India partnership provides the necessary momentum to meet their ambitious goal of producing 100+ fusion energy generators per year, starting in 2035.

“Fusion energy is the only truly scalable and safe energy solution that can meet humanity’s growing needs without compromising the health of our planet,” said Priyanca Iyengar Ford, Founder & Executive Board Member of Kronos Fusion Energy. “If your fusion energy generator produces neutrons, you’re creating a nuclear byproduct that is not sustainable or safe. At Kronos, our mission is to deliver aneutronic fusion energy at less than $10/MWh, free from the risks of neutron radiation and weaponization. This U.S.-India partnership completes our global supply chain, allowing us to rapidly scale and produce 100+ fusion energy generators per year by 2035.”

Aneutronic Fusion: Addressing Regulatory Challenges and Reducing Risks

One of the key advantages of Kronos Fusion Energy’s proprietary aneutronic fusion technology is the significant reduction in regulatory hurdles compared to traditional nuclear reactors. In traditional nuclear energy, the production of neutrons results in radioactive byproducts, including tritium, which poses long-term environmental risks and the potential for nuclear weaponization.

By contrast, aneutronic fusion reactors, like those developed by Kronos, produce zero neutrons during their fusion process. The absence of neutrons eliminates the risk of nuclear weaponization and drastically reduces the creation of radioactive waste. Tritium, a common fuel used in many fusion reactors, is entirely absent from Kronos Fusion Energy’s fuel composition, further reducing the regulatory complexities associated with radioactive materials. These characteristics provide a clear regulatory path forward, allowing Kronos Fusion Energy to accelerate the deployment of its fusion generators globally.

“Our proprietary aneutronic reactors, which don’t produce neutrons or rely on tritium, significantly ease the regulatory burden typically associated with nuclear energy,” said Michael Laughlin, COO of Kronos Fusion Energy. “By removing the need for complex containment strategies and long-term waste storage, our generators provide clean, sustainable energy without the heavy regulatory footprint. This makes our technology not only safer but more economically feasible for widespread adoption.”

The combination of aneutronic fuel and direct energy conversion makes Kronos’ fusion generators a viable and scalable solution for regions where traditional nuclear reactors face high regulatory barriers, such as densely populated areas, industrial zones, and remote or off-grid locations. These benefits are expected to streamline the regulatory approval process across multiple countries, positioning Kronos as a leader in bringing fusion energy to the market.

For media inquiries or more information, please contact:

Andrea Romero
Tel: 213-985-7898
Email: andrea@sakuramarketingfirm.com
https://sakuramarketingfirm.com/

About Kronos Fusion Energy
Kronos Fusion Energy is pioneering aneutronic fusion energy technology, offering clean, limitless power for industrial, urban, and remote applications. With a focus on modular, scalable solutions and cutting-edge AI integration, Kronos Fusion Energy is driving the global commercialization of fusion energy systems. For more information, visit kronosfusionenergy.com.

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Fusion Energy Innovation and Product Launch

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1 week ago

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September 26, 2024

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Kronos Fusion Energy Unveils Groundbreaking Fusion Products and Industry-Wide Capabilities

Washington, D.C., September 25, 2024 – Kronos Fusion Energy, a global leader in aneutronic fusion technology, today unveiled its groundbreaking suite of five fusion energy products, designed to revolutionize the energy industry. These innovations will drive the production of over 100 fusion energy generators annually starting in 2035. Each product in the lineup addresses key energy demands across diverse industries, providing safe, scalable, and clean energy solutions powered by fusion.

Kronos Fusion Energy’s suite of five advanced products are designed to serve a diverse range of industries, each optimized for efficiency, scalability, and rapid deployment:

  1. StarCore Power Module – A compact space power module engineered for off-world and deep space applications. It provides reliable, clean energy for long-term space missions and satellite power.
  2. Voyager Power System – A maritime and remote power system designed to deliver clean, sustainable energy to ships, offshore platforms, and remote locations where traditional infrastructure is not feasible.
  3. MetroVolt Grid Engine – An urban grid power station optimized for city-scale energy grids, providing clean fusion energy to meet the growing electricity demands of densely populated urban centers.
  4. Inferno-X High-Temp Reactor – An advanced high-temperature process generator designed for industrial applications that require extreme heat, such as steel, cement, and liquid fuel production.
  5. Aegis Modular Generator – A modular, scalable aneutronic fusion generator designed for direct energy conversion, enabling rapid deployment across a range of commercial and industrial settings.

Building Capabilities for the Entire Industry

Kronos Fusion Energy is not just building these capabilities for its own energy projects but is also prepared to cater to the four major fusion energy concepts that have been proven viable. These include:

  1. Magnetic Confinement Fusion (e.g., tokamaks and stellarators)
  2. Inertial Confinement Fusion (e.g., laser-driven fusion)
  3. Field-Reversed Configuration (FRC) Fusion
  4. Direct Energy Conversion-Based Fusion

By developing capabilities that serve all four major approaches, Kronos Fusion Energy positions itself as a central player in the global fusion energy industry, ensuring it can support the commercialization of multiple fusion technologies as the market evolves.

Direct Energy Conversion & AI-Driven Optimization

One of the most innovative aspects of Kronos Fusion Energy’s technology is its Direct Energy Conversion (DEC) system, which bypasses traditional steam turbines to convert fusion-generated energy directly into electricity. This innovation simplifies the entire energy generation process, significantly reducing operational costs and improving overall efficiency. DEC, combined with artificial intelligence (AI) and machine learning (ML) algorithms, continuously optimizes the performance of each reactor, adjusting plasma confinement, fuel input, and energy output in real time.

These AI-driven systems ensure that Kronos Fusion Energy’s reactors achieve maximum efficiency while minimizing waste, positioning the company at the forefront of AI-integrated energy systems. The use of AI also enhances operational safety, as the system can predict and prevent potential issues, further reducing risks.

“We’ve designed a streamlined production process that cuts the time from design to installation down to just 3-4 years,” said Priyanca Iyengar Ford, Founder & Executive Board Member. “With our proprietary technology and integrated AI, we can deliver clean energy faster, more affordably, and at a lower operational cost than ever before, accelerating the global transition to zero-emissions power.”

Global Workforce and Immediate Deployment Capability

Kronos Fusion Energy’s production and deployment capabilities are supported by an extensive global network of more than 20,000 engineers and 800 scientists, with an additional workforce of 40,000 professionals available in India alone. This deep bench of expertise ensures that Kronos Fusion Energy can scale production rapidly and meet global energy demands efficiently.

By establishing key partnerships in India, Kronos is leveraging the country’s vast technical expertise, manufacturing infrastructure, and skilled workforce to facilitate the rapid rollout of fusion energy technologies. This collaboration not only accelerates the deployment timeline but also reinforces India’s growing role in global energy innovation and sustainability.

Fusion Energy: A Key Opportunity for Investors

As the world increasingly turns to sustainable energy solutions, fusion energy represents one of the most significant investment opportunities of the 21st century. Fusion energy is one of the few industries where investors can potentially see 100x, if not 1000x, returns on their investments. Kronos Fusion Energy’s technology stands at the intersection of clean energy, advanced AI integration, and scalable industrial applications, making it a highly attractive sector for investors looking to be part of the next major technological breakthrough.

For media inquiries or more information, please contact:

Andrea Romero
Tel: 213-985-7898
Email: andrea@sakuramarketingfirm.com
https://sakuramarketingfirm.com/

About Kronos Fusion Energy
Kronos Fusion Energy is pioneering aneutronic fusion energy technology, offering clean, limitless power for industrial, urban, and remote applications. With a focus on modular, scalable solutions and cutting-edge AI integration, Kronos Fusion Energy is driving the global commercialization of fusion energy systems. For more information, visit kronosfusionenergy.com.

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Freture Techno and Ion Pure Collaborate to Launch SWJAL PROCESS PVT. LTD.: A Game-changer in Pharmaceutical Water Purification

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3 weeks ago

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September 17, 2024

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Mumbai, September 2024 — SWJAL PROCESS PVT. LTD. is thrilled to announce its official launch, signifying a major milestone in the water purification sector. This joint venture unites the expertise of two renowned companies, bringing innovative solutions to the pharmaceutical industry’s high-purity water needs.

Founding Companies: Industry Leaders Joining Forces

The creation of SWJAL PROCESS is built on solid foundations provided by two well-established companies:

Ion Pure Process Equipment, Led by industry veteran Mr. Laxmishankar Yadav, has over 15 years of extensive experience in the water treatment industry. He is widely regarded as a respected authority in the field. Known for its commitment to delivering cutting-edge water treatment systems and exceptional customer service, Ion Pure has long been a leader in developing high-quality solutions for diverse industries.

Freture Techno Pvt. Ltd., Co-directed by Mr. Kailas Waghmare and Ms. Mamta Chavan, with over 18 years combined experience, the company is a prominent manufacturer of industrial valves and instrumentation. Freture Techno Pvt. Ltd. has built a reputation for precision engineering, advanced technology, and innovative solutions, serving clients across multiple sectors.

Together, these companies formed SWJAL PROCESS PVT. LTD., creating a powerful force in the water treatment industry.

Introducing SWJAL PROCESS PVT. LTD.

This new venture marks the rebranding of Ion Pure Process Equipment, which will now operate as SWJAL PROCESS Pvt. Ltd. By combining the rich technical expertise, advanced engineering, and customer-focused approaches of its founding companies, SWJAL aims to revolutionize water purification solutions for the pharmaceutical sector.

With a focus on designing, manufacturing, and implementing high-performance water treatment systems, SWJAL PROCESS is poised to meet the evolving demands of industries that rely on the highest standards of water purity.

A Bold Future for Water Purification

SWJAL PROCESS Pvt. Ltd. is set to redefine water treatment standards, especially in industries where water purity is critical, such as pharmaceuticals, cosmetics, and food production. The company is dedicated to offering tailored solutions that meet the stringent regulatory requirements of these sectors, ensuring efficiency and reliability in every system delivered.

Official Launch at the Pharma Pro&Pack Exhibition

SWJAL PROCESS Pvt. Ltd. has recently launched its official website, showcasing its innovative range of products and services. The company will enter the industry at the prestigious Pharma Pro & Pack exhibition in Hyderabad, scheduled for September 26-28, 2024. This event, a leading platform for pharmaceutical manufacturing technologies, will provide attendees with a first-hand look at SWJAL’s state-of-the-art water purification systems.

Visitors are invited to meet the SWJAL team at Hall 6, Stall No. H45, to explore the company’s offerings and discover how SWJAL PROCESS PVT. LTD. can enhance their water treatment processes.

Email: sales@swjal.com.

Web: https://www.swjal.com.

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The Association of Indian Technology Sales Professionals™ [AITSP] Welcomes Industry Stalwarts Amit Chatterjee and Somya Shahi to its Advisory Board

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3 weeks ago

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September 13, 2024

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Bengaluru (Karnataka) [India]: The Association of Indian Technology Sales Professionals™ [AITSP] is proud to announce the addition of two esteemed industry leaders, Amit Chatterjee and Somya Shahi, to its advisory board. Their extensive experience and strategic insights will be invaluable as AITSP continues its mission to empower and elevate tech sales professionals in India.

Amit Chatterjee, a seasoned sales leader with over 15 years of C-level experience, brings a wealth of knowledge in business strategy, fundraising, and talent development. His track record of mentoring and coaching startups and mid-stage companies aligns perfectly with AITSP’s focus on fostering growth in the tech sales ecosystem.

Somya Shahi, a distinguished strategy and growth professional, boasts a strong academic background and proven success in driving business excellence across global markets. Her passion for diversity, equity, and inclusion, coupled with her expertise in strategic planning and market expansion, will bring a unique perspective to the advisory board.

“We are thrilled to have Amit and Somya join our advisory board,” said Santhosh Srikant, Founder and Chief executive officer of AITSP. “Their combined expertise and passion for the industry will be instrumental in guiding AITSP’s strategic initiatives and ensuring we provide the most relevant and impactful resources for our members.”

Both Amit Chatterjee and Somya Shahi expressed their enthusiasm for joining the AITSP advisory board.

“AITSP is at the forefront of shaping the future of tech sales professionals in India, I am excited to contribute my expertise to AITSP’s mission of driving growth and shaping the future. As part of the advisory board, I am thrilled to be contributing with my guidance to this dynamic organization and help them realize their ambitious goals.” Amit Chatterjee stated.

Somya Shahi echoed this sentiment, adding, “I’m truly honored to be part of the AITSP advisory board. What makes AITSP a compelling organization is its pioneering role in India’s technology sales landscape. Its holistic approach to supporting professionals at every career stage is truly inspiring. By uniting aspiring salespeople, seasoned leaders, and enablers, AITSP creates a unique ecosystem where knowledge flows freely and growth opportunities flourish. This inclusive vision not only sets AITSP apart but also positions it as a catalyst for elevating the entire tech sales profession in India. As an advisory board member, I’m excited to contribute my expertise to this dynamic organization and help shape the future of tech sales in our country.”

“Welcoming Amit and Somya aboard our advisory board isn’t just an addition, it’s a milestone. Their arrival signals AITSP’s upward trajectory and the growing resonance of our mission. With their strategic acumen guiding us, we’re poised to navigate the ever-evolving tech landscape, equipping our members with the tools they need to not just survive, but thrive.” says Suneet Manish Bhargava, Co-founder, AITSP.

Know More: https://aitsp.in/about/advisory-board https://aitsp.in/resources/advisorynews

About AITSP

The Association of Indian Technology Sales Professionals™ [AITSP] is India’s first and only membership-based association exclusively dedicated to the technology sales profession. AITSP’s mission is to empower technology sales professionals to achieve their full potential by providing a platform for, learning, recognition and growth. Through its exclusive membership model, AITSP fosters a vibrant community of professionals who are committed to driving innovation and excellence in their industry.

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