
Assam, NE no longer prisoners of history: Himanta
Guwahati:
Assam
chief minister
Himanta Biswa Sarma
, while speaking at the 10th governing council meeting of NITI Aayog on 'Viksit Rajya for Viksit Bharat @ 2047' in New Delhi on Saturday, said the state which was 'let down' by the past political leadership stagnating its development trajectory has 'reclaimed' its position as 'gateway to Southeast Asia' after 2014.
He further said at the meeting chaired by PM Narendra Modi that "Assam and the northeast are not peripheral — they are strategic, economic, and cultural frontiers. They are the gateways to Southeast Asia, rich in human capital and opportunity."
He added, "Let us correct the failures of past political vision with bold policy clarity today. Let us match the Prime Minister's commitment with institutional responsiveness, and replace inertia with action".
Sarma said, "The pursuit of a Viksit Assam has long been a cherished aspiration of our people. The Prime Minister's vision of a Viksit Bharat presents us with an opportunity to transform that aspiration into reality and reclaim and rejuvenate the rich legacy of a prosperous Assam".
Giving the state of development of the state before independence, Sarma said before independence, Assam was a land of prosperity, with a per capita income higher than the national average.
Sponsored Links
Sponsored Links
Promoted Links
Promoted Links
You May Like
Entrevista exclusiva: a verdade sobre o magnésio que ninguém te contou
AlwaysFit
Undo
"The state's premium tea exports had already gained global recognition. Assam enjoyed robust connectivity with the global economy—railway lines connected Dibrugarh to Chittagong by 1904, and the Brahmaputra served as a vital waterway linking Assam to ports like Chittagong. The state was firmly positioned as a hub of international trade," he said.
He pointed out that the Partition severed these arteries overnight and Assam was left with only a narrow and vulnerable lifeline — the Siliguri Chicken Neck — connecting it to the rest of India.
"The Chittagong Hill Tracts, despite having a population that was over 97% non-Muslim, were awarded to East Pakistan. Again, in 1971, during the creation of Bangladesh, Indira Gandhi had a historic opportunity to negotiate a broader and more secure geographical corridor to the northeast. Despite her decisive leadership in securing Bangladesh's liberation, this moment too passed without seizing that strategic opportunity.
These were pivotal junctures where bold leadership could have altered the trajectory of Assam and the northeast. Instead, the region was let down by the political leadership of the time," Sarm said.
He underlined that today Assam and other northeastern states are no longer considered the "prisoners of history".
To truly unlock the region's promise, the chief minister said, "We must implement dedicated transport and logistics corridors, revival of inland waterways and critical railway infrastructure, freight subsidies and long-haul incentives for industries, affordable and reliable power with appropriate cost equalisation mechanisms".
Speaking on the importance of Viksit Assam for Viksit Bharat, Sarma said that state government has taken decisive steps to build a prosperous, empowered and self-reliant Assam. He further said the state currently boasts a robust Gross State Domestic Product (GSDP) of USD 68.7 billion, with a remarkable 19 per cent growth recorded in the last fiscal year and an impressive 17.8 per cent compound annual growth rate (CAGR) over the past three years.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Time of India
3 hours ago
- Time of India
Big Tech has AI, but Indian MSMEs need something more—Desi AI
Many micro, small, and medium enterprises ( MSME s) in the country feel that the existing AI solutions are not tailored to their specific needs, and they require products that are simple, affordable, and customised for different segments of the MSME sector. Experts and industry stakeholders emphasise that this differs from the needs of larger firms, highlighting the necessity of developing sector-specific and needs-based AI solutions for MSMEs. In May 2025, NITI Aayog released a report titled 'Enhancing Competitiveness of MSMEs in India', which underscored the challenges faced by MSMEs in leveraging technology and innovation to drive growth. The report identifies key areas of concern, including limited access to formal credit, barriers to technology adoption, and low awareness of government schemes. According to the NITI Aayog report, 59% of India's MSMEs face 'financial limitations that hinder their ability to invest in AI, which include the high costs of AI tools, computer infrastructure, and training.' The report also said that 91% of India's MSMEs felt that 'AI should be democratically available and affordable'. Existing AI solutions often don't align with specific operational needs of MSMEs, says Anoop G Prabhu, CTO and Co-founder of Vehant Technologies. MSMEs span multiple sectors, each with unique challenges and workflows, requiring tailored solutions, says Prabhu. 'A MSME might need customer flow analytics, while a manufacturing unit may prioritise workers' safety compliance and process monitoring. Similarly, with other AI solutions, logistics players may focus on PPE detection, intrusion, fire & smoke detection, and cargo scanning through x-ray baggage scanner systems. These customised and industry-fit AI solutions will deliver effective results across diverse and specialised use cases,' Prabhu explains. Experts assert that the Indian MSMEs should prioritise ' Desi AI '—AI solutions made in India for India. If Indian tech companies don't focus on customisation and cost-effectiveness, a large segment of MSMEs will likely remain underserved, missing out on the opportunity for transformation, they add. Similarly, Manoj Dhanda, Founder and CTO of Utho Cloud, agrees that MSMEs' way of working is very different from big companies. Most AI models cater to large enterprises with extensive resources, but small businesses have different needs, says Dhanda, adding that they require AI solutions that are accessible, affordable, easy to implement, and tailored to their specific use cases. 'That's why customisation becomes important not in the AI model itself but in how it's used. For example, say they want to make a chatbot. Now bots work in general, but someone still needs to train or configure them according to the specific business flow, like what messages to send, how to respond, and what kind of customer data to pick,' adds Dhanda. Sushant Rabra, Partner and Head of Digital Strategy at KPMG in India, emphasises that tailored AI solutions, rather than generic imports, are key to unlocking productivity, competitiveness, and sustainable growth for MSMEs. This approach can drive the next wave of innovation in the MSME sector, he adds. 'The priority must be on scalable, plug-and-play solutions that minimise complexity while maximising business value. Delivering measurable impact through accessible, purpose-built AI will define the next chapter of India's enterprise transformation,' adds Rabra. Kanishk Maheshwari, Co-founder & Managing Director, Primus Partners, agrees that each specific MSME sector requires a different set of AI tools to maximise its productivity and efficiency. 'A textile MSME would prefer tools that would aid in inventory prediction, while a food processing unit would probably benefit more from tools that help in shelf-life tracking. In such a scenario, having custom-built tools to cater to unique issues faced by different MSMEs would help maximise the benefit of AI for them,' adds Maheshwari. Scaling up Desi AI solutions Experts say that to effectively scale AI in the MSME sector, solutions should be locally developed to address specific needs, transparently priced for better cost management and supported by reliable on-ground service for ongoing assistance. Prabhu says that the AI solutions can be scaled for growing MSMEs by focusing on modularity, affordability, and ease of integration. 'We believe the key lies in building AI products that are not only powerful but also flexible and adaptable to different stages of a business's growth. Our smart city solutions are near-edge compatible, cost-efficient, cloud operable, and hybrid model and support cloud-based architecture,' adds Prabhu. Dhanda highlights that the biggest need for AI adoption is cloud infrastructure, the backbone of AI. This foundational infrastructure is crucial for supporting AI solutions, says he. 'In India, we have over 138 operational data centres that can handle thousands of GPU workloads; we can easily understand how much data and how many AI models we can host. So, we have a large data centre infrastructure, and any AI workload can be scaled very easily, whether it's for MSMEs, corporates, or any other community. Nowadays, with the kind of infrastructure we have, you don't need to invest in capex,' adds Dhanda. Experts say that scaling AI adoption among MSMEs requires a three-pronged approach: co-creation of solutions with MSMEs to ensure alignment with their needs; public-private partnerships to build robust support infrastructure; and affordability through government-backed incentives. On the occasion of World MSME Day on June 27, 2025, ET Digital will also open registrations for its sixth edition of the ET MSME Awards 2025. The coveted award programme celebrates India's top MSMEs for their achievements and contribution to the nation's economic development.


The Hindu
4 hours ago
- The Hindu
97 'anti-nationals' arrested post Pahalgam terror attack in Assam: Himanta
Two people have been arrested for allegedly being "anti-Hindu" from different parts of Assam following the Pahalgam terror attack, taking the total number of arrests to 97 so far, Chief Minister Himanta Biswa Sarma said on Monday (June 23, 2025). In a post on X, Mr. Sarma said one person each was apprehended from Tinsukia and Nagaon districts. "Crackdown on anti-Hindu elements continues... 97 anti-national and anti-Hindu culprits behind bars now," he added. Crackdown on Anti-Hindu elements continues 🚨 1️⃣@TinsukiaPolice arrested Md Anisur Rehman for sharing an objectionable content on Hinduism. 2️⃣@nagaonpolice arrested Farijul Islam for a derogatory comment on Lord Ram. 97 anti-national and anti-Hindu culprits behind bars now. — Himanta Biswa Sarma (@himantabiswa) June 23, 2025 The arrested person from Tinsukia had shared objectionable content on Hinduism on social media, while the accused from Nagaon made a derogatory comment on Lord Ram, the CM stated. Earlier, Opposition AIUDF MLA Aminul Islam was arrested on sedition charges for allegedly defending Pakistan and its complicity in the Pahalgam terror attack. After getting bail in the case, Islam was again detained under the National Security Act (NSA). On May 2, Mr. Sarma threatened to break the legs of those who raised the 'Pakistan zindabad' slogan in the aftermath of the Jammu and Kashmir terror attack. Addressing a campaign rally for the panchayat elections, he had appealed to the people to pray and give strength to Prime Minister Narendra Modi and the Indian Army so that Pakistani terrorists hiding anywhere in the world can be brought for "breaking their legs". Terrorists struck a prime tourist location in Pahalgam in south Kashmir on April 22 killing 26 people, mostly tourists, and injuring several others.


Time of India
7 hours ago
- Time of India
Big Tech has AI, but Indian MSMEs need something more—Desi AI
Many micro, small, and medium enterprises (MSMEs) in the country feel that the existing AI solutions are not tailored to their specific needs, and they require products that are simple, affordable, and customised for different segments of the MSME sector. Experts and industry stakeholders emphasise that this differs from the needs of larger firms, highlighting the necessity of developing sector-specific and needs-based AI solutions for MSMEs. In May 2025, NITI Aayog released a report titled 'Enhancing Competitiveness of MSMEs in India', which underscored the challenges faced by MSMEs in leveraging technology and innovation to drive growth. The report identifies key areas of concern, including limited access to formal credit, barriers to technology adoption, and low awareness of government schemes. According to the NITI Aayog report, 59% of India's MSMEs face 'financial limitations that hinder their ability to invest in AI, which include the high costs of AI tools, computer infrastructure, and training.' The report also said that 91% of India's MSMEs felt that 'AI should be democratically available and affordable'. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Elegant New Scooters For Seniors In 2024: The Prices May Surprise You Mobility Scooter | Search Ads Learn More Undo Existing AI solutions often don't align with specific operational needs of MSMEs, says Anoop G Prabhu, CTO and Co-founder of Vehant Technologies. MSMEs span multiple sectors, each with unique challenges and workflows, requiring tailored solutions, says Prabhu. 'A MSME might need customer flow analytics, while a manufacturing unit may prioritise workers' safety compliance and process monitoring. Similarly, with other AI solutions, logistics players may focus on PPE detection, intrusion, fire & smoke detection, and cargo scanning through x-ray baggage scanner systems. These customised and industry-fit AI solutions will deliver effective results across diverse and specialised use cases,' Prabhu explains. Live Events Experts assert that the Indian MSMEs should prioritise 'Desi AI'—AI solutions made in India for India. If Indian tech companies don't focus on customisation and cost-effectiveness, a large segment of MSMEs will likely remain underserved, missing out on the opportunity for transformation, they add. Similarly, Manoj Dhanda, Founder and CTO of Utho Cloud, agrees that MSMEs' way of working is very different from big companies. Most AI models cater to large enterprises with extensive resources, but small businesses have different needs, says Dhanda, adding that they require AI solutions that are accessible, affordable, easy to implement, and tailored to their specific use cases. 'That's why customisation becomes important not in the AI model itself but in how it's used. For example, say they want to make a chatbot. Now bots work in general, but someone still needs to train or configure them according to the specific business flow, like what messages to send, how to respond, and what kind of customer data to pick,' adds Dhanda. Sushant Rabra, Partner and Head of Digital Strategy at KPMG in India, emphasises that tailored AI solutions, rather than generic imports, are key to unlocking productivity, competitiveness, and sustainable growth for MSMEs. This approach can drive the next wave of innovation in the MSME sector, he adds. 'The priority must be on scalable, plug-and-play solutions that minimise complexity while maximising business value. Delivering measurable impact through accessible, purpose-built AI will define the next chapter of India's enterprise transformation,' adds Rabra. Kanishk Maheshwari, Co-founder & Managing Director, Primus Partners, agrees that each specific MSME sector requires a different set of AI tools to maximise its productivity and efficiency. 'A textile MSME would prefer tools that would aid in inventory prediction, while a food processing unit would probably benefit more from tools that help in shelf-life tracking. In such a scenario, having custom-built tools to cater to unique issues faced by different MSMEs would help maximise the benefit of AI for them,' adds Maheshwari. Scaling up Desi AI solutions Experts say that to effectively scale AI in the MSME sector, solutions should be locally developed to address specific needs, transparently priced for better cost management and supported by reliable on-ground service for ongoing assistance. Prabhu says that the AI solutions can be scaled for growing MSMEs by focusing on modularity, affordability, and ease of integration. 'We believe the key lies in building AI products that are not only powerful but also flexible and adaptable to different stages of a business's growth. Our smart city solutions are near-edge compatible, cost-efficient, cloud operable, and hybrid model and support cloud-based architecture,' adds Prabhu. Dhanda highlights that the biggest need for AI adoption is cloud infrastructure, the backbone of AI. This foundational infrastructure is crucial for supporting AI solutions, says he. 'In India, we have over 138 operational data centres that can handle thousands of GPU workloads; we can easily understand how much data and how many AI models we can host. So, we have a large data centre infrastructure, and any AI workload can be scaled very easily, whether it's for MSMEs, corporates, or any other community. Nowadays, with the kind of infrastructure we have, you don't need to invest in capex,' adds Dhanda. Experts say that scaling AI adoption among MSMEs requires a three-pronged approach: co-creation of solutions with MSMEs to ensure alignment with their needs; public-private partnerships to build robust support infrastructure; and affordability through government-backed incentives.