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‘Safer For Each Other 2.0’: Uber reassures riders of safety
NEW DELHI: Uber has launched the second-leg of its marketing campaign, ‘Safer For Each Other 2.0,’ to reassure riders of various precautionary measures it is undertaking for rider and driver safety, including in-car partitions and frequent disinfection of vehicles.
Uber has already installed safety screens in 81,000 autos across more than 20 cities and in 42,000 cars across seven cities. These high quality safety partitions are being installed just behind the driver’s seat and will act as an additional physical barrier between drivers and riders, facilitating social distancing while on a trip and help restrict contact.
Through ‘Safer For Each Other 2.0,’ Uber aims to make its partitions a tangible marker of safety in autos and cars. By sitting on the opposite sides of the safety screen, both riders and drivers are helping keep themselves #SaferForEachOther. The 360-degree campaign amplification plan will leverage print, radio, digital, social media, and other channels to ensure widespread awareness about Uber’s safety standards.
Uber marketing director, India SA & APAC rides brand marketing Sanjay Gupta, said, “At Uber, we are constantly defining transportation safety standards. The campaign salutes the human spirit & ability to move forward amidst crisis. As a brand that is reimagining how people move forward safely, the campaign highlights the importance of safety screens in maintaining physical distancing, while keeping riders & drivers connected on the common goal of keeping each other safer.”
Over the past few months, Uber has announced various features and policies to help riders and driver partners feel safer. It has launched a comprehensive set of safety measures such as the pre-trip mask verification selfies for drivers and riders, mandatory driver education around Covid2019 related safety protocols, and an updated cancellation policy.
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Madison World to launch AI platform M BrAIn for media planning
Agency group invests about $1 million as it shifts to AI driven growth planning.
MUMBAI: If media planning once ran on spreadsheets and gut instinct, the next chapter may run on algorithms and curiosity. Madison World is preparing to roll out the first version of its proprietary artificial intelligence platform Madison M BrAIn in early April, as the independent agency group accelerates its transition toward AI driven planning and product led media services.
The platform, expected to involve an investment of around $1 million, is designed to reshape how the agency approaches strategy by combining internal knowledge, external data sources and advanced AI models into a single intelligence ecosystem.
According to Madison Media, OOH and Hiveminds partner and group CEO Ajit Varghese the initiative forms part of a larger structural rethink within the organisation. “Traditionally agencies built frameworks around media planning and allocation. We are redesigning that structure into what we call a Growth Planning System (GPS),” Varghese said.
The shift reflects a growing belief that effective media strategy must begin earlier in the decision making process. Instead of jumping directly to channel allocation, planners must first decode the market itself identifying consumer barriers, purchase triggers and the core challenges facing a brand.
Once those insights are mapped, agencies can build clearer growth agendas for clients and design media strategies that connect more closely with business outcomes.
To support that approach, Madison has built Madison M BrAIn as what it describes as a human AI cognitive ecosystem. Acting as a central intelligence hub, the platform aggregates proprietary insights alongside external data sources and large language models, enabling planners to access deeper market intelligence before building campaign strategies.
Varghese said one of the core objectives is to democratise knowledge across the organisation. “In the past, this level of understanding was largely available to senior leaders or experienced strategists. With Madison M BrAIn, even a junior planner should be able to access the same intelligence and approach clients with a far more informed perspective,” he said.
The agency has already implemented the new planning philosophy internally and completed three months of testing for the AI platform, with early trials showing encouraging results in terms of learning capability and system performance.
While the first version relied on global large language models, Madison is now developing its own proprietary Small Language Model (SLM) to serve as the core of the M BrAIn ecosystem.
“The SLM will be able to read global LLMs, but the LLMs cannot read the SLM,” Varghese explained. “That ensures all the intelligence we build remains within the Madison ecosystem and strengthens our proprietary knowledge base.”
The first version of Madison M BrAIn is expected to go live in early April, with a more refined version targeted by the end of June. Over time, the platform will integrate additional external data streams and APIs including consumer insight platforms, social listening tools and client datasets.
These integrations are expected to enhance the system’s learning capability and enable it to generate increasingly sophisticated strategic recommendations.
Although the platform is currently being deployed for internal use, Madison sees potential for it to evolve into a licensable product in the future.
“At the moment, our focus is to stabilise and strengthen M BrAIn internally. But over time there is potential for this to become a product that could be licensed externally,” Varghese said.
The AI platform is also part of a wider technology transformation underway at the agency group. Alongside M BrAIn, Madison is building a broader digital infrastructure called the Catalyst operating system, which aims to integrate operational processes, data and product platforms into a unified ecosystem.
This broader technology stack could require an additional $1 million to $1.5 million investment over time, though spending will be phased and reviewed regularly.
“We are evaluating progress every three months and prioritising the most critical capabilities first,” Varghese said.
Madison expects the full AI and operating ecosystem to be fully functional within 12 to 18 months, positioning the agency to combine human strategy with machine intelligence as the advertising industry enters its next data driven phase.
