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The Future of Fast, Efficient, and Scalable Business Solutions

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By Abhinav Girdhar

 

In today’s fast-paced world there is immense pressure to meet the market demands in short timelines, and for this innovation is the key. Software development has always been a time-taking process with high costs and long timelines. Low-code solutions powered by artificial intelligence came as the perfect solution, as they enabled faster delivery of scalable, intelligent applications with a reduced reliance on coding talent. It aligned perfectly with business growth strategies too.

 

As low-code platforms minimised manual coding, a lot went into it. Applications that use visual workflows and preconfigured components are being developed that help to deliver tedious projects in weeks instead of months with traditional systems. This has powered deployment and experimentation. This solution is extremely beneficial to business users who truly understand the needs of the customers, enabling them to create solutions that bridge the gap between customer needs and solutions offered. This shift is reflected in how quickly the market has adapted to it. Analysts have projected that in the future low-code or no-code platforms will be utilised by businesses. This maturation of technology enables us to move beyond simple tools to the ones that can power mission-critical applications.

 

How AI Expands the Potential

AI has been critical in the development of low-code platforms. Today we can generate applications from natural languages as AI translates these requests into functional workflows and interfaces. AI can also suggest logic, optimise database queries and automate code completion along with a reduction in error and accelerated delivery. We also see an increment in predictive and prescriptive insights where applications are embedded with analytics to forecast outcomes and recommend the next step forward alongside identifying the risks. Through AI-driven testing we are assured of quality, as there are multiple vulnerability and performance issues. As processes are adapted in time, the intelligent workflow enables one to learn from patterns and improve efficiency.

 

Strategic Benefits of Low Code

As low code enables faster development and deployment, organisations can respond to competition quickly, getting an edge over their contemporaries. As teams collaborate more effectively through the convergence of business expertise and technical execution, we see a reduction in misalignment and rework. Moreover, we see organisations achieving more with existing budgets since the timelines have become shortened and the dependency on developers has decreased. We also see a better chance of scalability, as low code and AI can be used to extend and reconfigure easily. They also enable personalisation through intelligent recommendations, all the while enhancing customer engagement and loyalty through conversational interface.

 

Practical Applications Across Industries

It can be used in multiple industries right from financial services to roll out compliance tools faster or to detect fraud and even for digital onboarding processes. In healthcare too, it can be used for AI-driven triage and scheduling. It enables optimised inventory management and personalises the shopping experience in retail, whereas in manufacturing it can be used for real-time operational dashboards along with predictive maintenance applications. Likewise, in the public sector it can be utilised for citizen service portals and policy analytics platforms that need rapid updating.

 

Risks and future

While there will always be risks of data privacy in the absence of laws, ethical considerations must be dealt with in view of AI bias with transparency and regulation. Integration of systems will also be tough to crack, and training talent will need to be consistent. Once these shortcomings are dealt with, we can look at a world where we will have hyper automation and AI-first applications that can be reconfigured to support rapidly evolving strategies. As teams are empowered and guided by strong government frameworks, we will see democratised innovation. The next wave of innovation will not just be about technology but about effective integration of tools into innovation and growth strategies, and we must prepare for it.

 

(The author is Abhinav Girdhar, Founder & CEO, Appy Pie, and the views expressed in this article are his own)



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Alibaba’s Shares Soar After Investors Buy Into Big AI Moves

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(Bloomberg) — Alibaba Group Holding Ltd.’s stock gained the most in about two weeks after the company initiated a series of moves intended to shore up its place in China’s AI development boom.

The e-commerce leader’s shares climbed more than 7% in early Hong Kong trading, tracking an overnight gain in the US. That takes the Chinese company’s gain to over 80% this year, a rally driven by aggressive moves to expand into the fledgling field of artificial intelligence.

Alibaba this week raised $3.2 billion in convertible bonds to bankroll the country’s biggest AI infrastructure budget and cloud service. It unveiled updates to flagship Qwen-series models designed to compete with DeepSeek and OpenAI. And The Information reported that Alibaba and Baidu Inc. are starting to employ in-house chips in the training of artificial intelligence, replacing costly Nvidia Corp. accelerators. Baidu’s stock rose close to 13% in Hong Kong to its highest since October 2024.

Alibaba is staging a comeback after years of regulatory scrutiny hammered its internet business. The firm co-founded by Jack Ma has established itself this year among the frontrunners of a nationwide AI frenzy. It’s since declared itself wholly in pursuit of artificial general intelligence — the holy grail for many tech companies.

Its recent moves coincide with growing optimism about the outlook for a technology expected to revolutionize industry and economies. This week, Oracle Corp. helped ignite a sectoral rally after delivering a blowout outlook for global AI spending.

“Alibaba’s recent moves have shifted investors’ focus completely to its AI potential, offsetting the concerns about its price wars in food delivery,” said Paul Pong, a managing director at Pegasus Fund Managers. “With the capability of producing its own chips, it should create more growth drivers.”

The stock gains come even as Alibaba wages war with deep-pocketed rivals on another front. 

This week, the company declared it was sinking more money into incentives and subsidies to power its local services and e-commerce business. It’s committing another 1 billion yuan ($140 million) of incentives to drive more traffic to one of its most popular online services, cranking up the heat on JD.com Inc. and Meituan in their ongoing battle for Chinese consumers.

Some analysts regard that as a positive given it’s competing hard for users to drive its core business. But others point to margin erosion at a time AI’s monetization potential remains elusive.

What Bloomberg Intelligence Says

Alibaba’s latest AI model releases, including the more efficient Qwen3-Next and 1-trillion-parameter Qwen-3-Max-Preview, should support demand for its cloud services. However, returns from the segment are set to remain poor, given low margins and disproportionately high capital costs. Quarterly adjusted Ebita in the cloud intelligence division rose by just $86 million in the 12 months ended June 2025. Tencent remains better placed to generate a near-term return on AI, in our opinion.

– Robert Lea and Jasmine Lyu, analysts

Click here for the research.

(Updates with Baidu’s stock from the third paragraph.)

More stories like this are available on bloomberg.com



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Databricks AI Chief to Exit, Launch a New Computer Startup

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(Bloomberg) — Naveen Rao, the head of artificial intelligence at the $100 billion startup Databricks Inc., is planning to leave his position to launch a new venture making a novel type of computer, according to a person familiar with the matter. 

A spokesperson for Databricks confirmed that Rao is transitioning to an advisory role at the company, and said that Databricks is planning to invest in his new startup. The spokesperson declined to disclose the size of the investment.

Rao has also held early talks with other investors about backing the new company, which would focus on building a next-generation computer to address the rising costs of AI computing power, said the person familiar with the conversations, who asked not to be named discussing private information.

Rao declined to comment on his plans for the new company.

Rao is a serial entrepreneur who sold his data and AI analytics startup MosaicML to Databricks in 2023 for $1.3 billion. MosaicML had raised about $30 million from investors including Maverick Ventures, Lux Capital and DCVC. Before that, Rao co-founded Nervana Systems, a machine intelligence platform, which was acquired by Intel Corp. in 2016 for about $350 million. 

Given Rao’s track record, the new venture could attract significant investor interest at a lofty valuation. He would also join a wave of prominent tech executives who’ve launched startups, including former OpenAI Chief Technology Officer Mira Murati, whose company Thinking Machine Labs was last valued at $10 billion, and ex-Salesforce co-CEO Bret Taylor, whose two-year-old AI startup Sierra was also recently valued at $10 billion.

Databricks recently raised $1 billion in a funding round that made it one of the country’s most valuable startups. The round was co-led by Andreessen Horowitz, Insight Partners, MGX, Thrive Capital and WCM Investment Management.

More stories like this are available on bloomberg.com



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Rent the Runway Adds AI Enhancements Amid Transformation

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Rent the Runway is continuing to roll out new personalized recommendations and artificial intelligence (AI)-powered enhancements as part of a wide-ranging transformation of its fashion subscription, rental and resale platform.

The company’s changes also include improvements to inventory strategy, product innovation and connection with core customers, as well as a recapitalization plan that was announced in August, Rent the Runway Co-Founder and CEO Jennifer Hyman said Thursday (Sept. 11) during the company’s quarterly earnings call.

“Significant business transformations typically take place over a long time horizon,” Hyman said. “However, over the last several months, we’ve made swift progress and delivered results quickly.”

Recent product launches that enable personalized recommendations include features based on each customer’s favorite designers, styles and occasions, according to a presentation released Thursday.

Launched in August, these features personalize the customer’s browsing experience with “relevant recommendations based on her preferences and interests to make picking easy,” the presentation said.

The company also plans to leverage AI to surface insights from members’ reviews, making it easier for customers to find the right style and fit, per the presentation.

“Looking forward, product improvements will focus on incorporating more personalized recommendations […] and using AI for review summaries and fit improvements to build a continuously improved product for our customers,” Hyman said during the call.

Hyman also highlighted other components of Rent the Runway’s transformation, including a “historic investment in inventory” that has added 2,200 new styles and 56 new brands to the platform so far this year, giving customers more items to browse and rent; the launch of affiliate emails that enable customers to purchase from brands via links in Rent the Runway’s emails; new social media campaigns that facilitate the company “meeting our customers where they are on Instagram, TikTok and Reddit”; and exclusive, in-person events for subscribers that drew demand that was three times greater than capacity.

During the quarter ended July 31, Rent the Runway saw year-over-year increases of 2.5% in revenue, 13.4% in active subscribers, 5.7% in total subscribers, and 77% in average subscription net promoter score, according to a Thursday earnings release.

Hyman also spotlighted the recapitalization plan that Rent the Runway announced Aug. 21, saying it will strengthen the company’s balance sheet and supply it with fresh capital.

“Since COVID, I believe that our capital structure has been the thing holding us back from making a full comeback, and we’re happy to be moving forward into a new chapter,” Hyman said during the call. “We’re ready to be reacquainted with the investor community and I view this as our IPO 2.0.”



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