Latest news with #SanjayBhatia
Time of India
7 days ago
- Business
- Time of India
Commercial hub makeover on the cards for Mumbai's eastern waterfront as port authority invites proposals to lease 28 plots
Mumbai: The city's eastern waterfront may soon host corporate, business, trade and IT parks, besides state-of-the-art warehouses and godowns. Mumbai Port Authority (MbPA) plans to lease out 28 plots totalling over 217 acres near the sea on the east coast of Mumbai and Raigad district, for a period of 30 years for commercial and industrial purposes to earn Rs 814 crore annually. These plots are located in areas like Wadala, Sewri, Reay Road, P'Dmello Road, Colaba, Fort, Mazgaon, Sasson Dock, Mallet Bunder, and near Thal beach in Alibaug, according to the notice issued by the port authority. MbPA owns a large stretch of coastal belt spanning nearly 28km from Colaba end to Wadala. According to sources, the commercial and industrial development will also ensure facilities around tourism, recreation, and entertainment, including a marina, amphitheatre, and large landscapes. The plan, however, does not include residential permissions. On Monday, MbPA published an expression of interest offering the 28 properties — 27 in Mumbai, and one in Thal in Raigad district. The lease also includes MbPA-owned buildings along the city's eastern waterfront, according to the EOI. The last date for submission of bids is Sept 11. You Can Also Check: Mumbai AQI | Weather in Mumbai | Bank Holidays in Mumbai | Public Holidays in Mumbai | Gold Rates Today in Mumbai | Silver Rates Today in Mumbai "Nearly 70% of MbPA cargo is liquid-like chemicals and petroleum; hence warehousing, godowns, and industrial & commercial activities have been the priorities," said sources. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Indonesia: New Container Houses (Prices May Surprise You) Container House | Search Ads Search Now Undo In Dec 2018, MbPA was appointed as the special planning authority for the development of the 966-hectare Eastern Waterfront into a world-class hub focused on tourism, recreation, entertainment, a marina and commercial spaces. A committee headed by then-MbPA chairperson Sanjay Bhatia had released a draft development plan for public scrutiny. The draft plan was finalised, but later put in cold storage. Stay updated with the latest local news from your city on Times of India (TOI). Check upcoming bank holidays , public holidays , and current gold rates and silver prices in your area.
Hindustan Times
12-08-2025
- Business
- Hindustan Times
Mumbai Port Authority to lease 28 plots of over 217 acres in Mumbai and Alibaug, raise over ₹800 crore annually
The Mumbai Port Authority (MbPA) plans to lease 28 plots of over 217 acres near the sea on the east coast of Mumbai, including Alibag, also known as Eastern Water Front. The port trust will lease these land parcels for a period of 30 years for commercial and industrial purposes in order to raise over ₹800 crore. Mumbai real estate update: The 27 plots located in Mumbai are in areas like Wadala, Sewree, Reay Road, P'Dmello Road, Colaba, Fort, Mazgaon, Sasson Dock, Mallet Bunder. (Picture for representational purposes only)(Mehul R Thakkar/HT) These plots are located in areas like Wadala, Sewree, Reay Road, P'Dmello Road, Colaba, Fort, Mazgaon, Sasson Dock, Mallet Bunder and near Thal beach in Alibaug, according to the notice issued by the port authority. By leasing these properties, the MbPA hopes to raise over ₹800 crore in revenue annually. The Port Authority published an Expression of Interest (EOI) on August 11, offering 28 properties on 215 acres, 27 plots in Mumbai and one in Thal in Raigad district, according to a report by Hindustan Times. The last date for submission is September 11. Also Read: Mumbai real estate market: Should you buy an apartment on leasehold or freehold land? Netizens weigh in Port Authority to permit only industrial and commercial use of the plots The EOI states that the plots will not be allotted for residential purposes, and the authority will permit only industrial and commercial use of the plots for a 30-year lease. The Mumbai Port Authority is one of the biggest landlords among the state and central government agencies. Several government agencies like the National Textiles Corporation, Maharashtra government, the Central government, Central Railway, Western Railway also own a significant portion of land parcels in the city. Also Read: Six landlords who control more than 10% of Mumbai's land The 28 plots being leased by the Mumbai Port Authority (MbPA) include several key parcels: a 22-hectare plot at Princess Dock near the domestic cruise terminal; a 29-acre site in Wadala that formerly housed a Hindustan Petroleum Corporation Limited (HPCL) facility; a 10-acre plot previously used by the Food Corporation of India (FCI) as a warehouse in Wadala; 25 acres of land at the Sewri Timber Pond; and a cargo storage yard located near the Mumbai Trans Harbour Link (MTHL). The lease also includes various MbPA-owned buildings along the city's eastern waterfront, according to the Expression of Interest (EOI) issued by the Port Authority. Also Read: Mumbai real estate: Where can you buy a second home close to the financial capital with a ₹50 lakh budget? Eastern Waterfront plan put under cold storage? In December 2018, the MbPA was appointed as the Special Planning Authority (SPA) for the development of the 966-hectare Eastern Waterfront at the centre of this grand design. A committee headed by then-MbPA chairperson Sanjay Bhatia released a draft development plan for public scrutiny. It was later finalised but put in cold storage, according to a report published in the Hindustan Times.
Forbes
24-04-2025
- Business
- Forbes
How Intelligent Agents Are Reshaping Business Strategy
Sanjay Bhatia, founder of is a seven-time AI serial entrepreneur with three exits. We've come a long way from Hollywood films portraying AI as robots taking over all electronics and turning against humans. With the major leaps we've made, especially in the last few years, AI has become a prerequisite for any business looking to gain a significant competitive advantage. Whether it's chatbots fielding customer questions at 3 a.m. or machine learning algorithms analyzing trend data and forecasting, AI is not just a shiny plot twist in an action movie. It's a practical tool in both personal and business use cases. A 2025 Ascendix report found that 82% of companies in the world are using or exploring AI. This includes 92% of Fortune 500 companies that have already adopted it, and this number will only continue to rise exponentially. One particular area where many businesses are recognizing AI's value is decision-making—especially data-driven decision-making. We live in an economy where data is the hottest commodity, and due to the sheer amount of inputs companies can harness before making any kind of decision, we must close a big efficiency gap when it comes to using the right insights to call the right shots. This is where AI agents come in: Custom AI "support" analyzes and formulates insights faster than humans, giving companies a better overview of operations, customers and market trends. It's easy to fall into the trap of picturing AI agents as lines of code that churn out numbers. In reality, they're extremely nuanced. The smartest AI agents out there use a combination of large language models with custom knowledge or databases to have consistently applicable context, seek out patterns, make intelligent decisions and continuously iterate on the quality of their output along the way. AI agents can be as invisible or visible as the use case requires them to be. For example, AI powers Netflix's entire recommendation system to make tailor-made content recommendations to users. This system, hidden behind layers of Netflix-branded UI, makes decisions on which shows to recommend based on a variety of data sources, ranging from users' own consumption habits to demographic data and industry trend reports. At the same time, an AI agent that's a chatbot as a tool is more conversational in the experience it provides—whether it's a marketing executive working on a company's budget allocation for the quarter or a venture fund looking to diversify the portfolio with more data-backed actions. The case is simple: accuracy, efficiency and speed. AI can streamline large and small decisions, noticing trends inaccessible to the naked (human) eye and making predictions in a fraction of the time. AI can also increase the speed at which actionable insights are readily available for review. Instead of monthly or quarterly manual reports, AI agents can provide near-real-time data for informing faster decisions, especially in cases of timely pivots to match the pace of the market. Accenture announced in October 2024 that "the number of companies that have fully modernized, AI-led processes [had] nearly doubled from 9% in 2023 to 16% in 2024." Specifically, these organizations have reported 2.5x higher revenue growth and 2.4x greater productivity compared to other players in their categories. These types of wins are not reserved for companies with massive budgets. We're at an inflection point where the playing field is evened out. With the pace at which organizations are adopting and embracing AI, smaller companies can also tap into building custom and use case-specific AI agents that can improve internal decision-making and deliver a better customer solution. Amazon is well-known for its dynamic pricing strategies (sometimes multiple times a day) to adjust to market demand, competitor pricing and user data signals. AI-driven dynamic pricing allows the company to adapt faster than traditional retailers, which means it can capture more sales while maintaining optimal profit margins and continue as a category leader. On the other side of the spectrum, JPMorgan Chase uses AI to analyze large volumes of transaction data, quickly flagging any unusual or suspicious activities to future-proof the organization's ability to fight fraud and deliver a better experience to their end users. Even though AI adoption is an inevitability, rolling out company-wide AI modernization initiatives isn't always going to be smooth. The biggest "make-or-break" reason isn't necessarily the tech itself; it's ultimately the decision-makers who need to opt in to start leveraging AI tools for better outcomes. Some employees will worry about job security, while others will be reluctant to trust a new system they don't fully understand. A few ways to remove friction in the rollout include: • Education: Provide training sessions, create spaces for open dialogue and show practical ways AI can reduce busywork rather than replace your team's jobs. • Starting Small: Pick a specific area (e.g., improving sales forecasts) and begin testing AI there with a controlled group of stakeholders. Track the results, share the wins and note any lessons for company-wide visibility. As teams witness improvements, they're more likely to adopt AI in other areas—as long as they don't see a threat to their job security or position. This gradual approach also allows leaders to refine how data is collected and ensure it meets the standards intelligent agents need. Whether you're a team of 10 or 10,000, the impact of AI will be equally valid. Enter the game while the playing field is level. 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