
MathCo Announces Collaboration with Snowflake to Accelerate AI-Led Decision Intelligence
VMPL
San Francisco (California) [US], June 4: MathCo®, a global leader in Enterprise AI and analytics, today announced at Snowflake's annual user conference, Snowflake Summit 2025, the expansion of its collaboration with Snowflake, the AI Data Cloud company. With this news, MathCo and Snowflake are set to accelerate AI-driven innovation and help clients across industries unlock the full value of their data on Snowflake with MathCo's deep domain expertise and enterprise AI capabilities.
As part of this initiative, MathCo is launching a dedicated MathCo Center of Excellence (CoE) for Snowflake aimed at helping Fortune 500 and Global 2000 organizations scale their AI and ML initiatives. The CoE will focus on building solutions that enable critical business decisions and drive tangible outcomes using Snowflake's transforming platform. This collaboration will accelerate AI-driven innovation, deliver custom joint solutions, and strengthen MathCo's Snowflake-certified workforce.
Aakarsh Kishore, Chief Product Officer and Head of Technology Services at MathCo, said, "MathCo is committed to delivering smart solutions at speed. We believe this collaboration will deliver immense value to our joint customers, combining MathCo's strengths as an enterprise AI enabler with Snowflake's scalable and flexible platform. We're especially excited about accelerating GenAI use cases for businesses on Snowflake."
NucliOS, MathCo's proprietary decision intelligence platform, is focused on infusing speed and business knowledge into the build and management of not only data foundations and analytics assets but also the consumption of these assets through decision-making tools and co-pilots. This helps both Snowflake and MathCo in their shared mission to enable every organization to be data-driven. Currently, there are 100+ use cases across Retail, CPG, Life Science, and Healthcare helping businesses build, manage, and gain massive ROI from their data.
Shridhar Guntury, Chief Technology Officer at MathCo, said, "MathCo has always thrived at the intersection of technology, innovation, and problem-solving. Strategic partnerships like these allow us to create many more value propositions on NucliOS where data, analytics & decision-making assets become faster to build, inherently scalable, and easy to adopt."
With this partnership, MathCo aims to help organizations seamlessly connect a plethora of data sources, tools, and systems across business functions, building a dependable ecosystem focused on executive-level transparency and driving smarter, strategy-aligned decision-making. Some of MathCo's existing solutions are already demonstrating this value in action, and the company is excited about the potential of this expanded collaboration to amplify that impact multifold.
Kieran Kennedy, VP, Data Cloud Products at Snowflake, said, "MathCo has demonstrated a strong commitment to helping its customers extract greater value from their data. This collaboration will benefit our joint customers by enabling them to build assets faster and seamlessly connect them on the Snowflake AI Data Cloud. We look forward to driving deeper value together with MathCo."
To further strengthen the partnership, MathCo will leverage Coach, its in-house L & D university, to educate and enable subject matter experts (SMEs) on Snowflake. The initiative will include hands-on training sessions, enablement programs, and accelerated certification pathways to expand capability building across teams.
MathCo is also proud to be a sponsor at the Snowflake Summit 2025, where it will showcase its solutions and offer live demos of NucliOS at booth #1324. The event will take place from June 2-5, 2025, at Moscone Center, San Francisco.
About MathCo
TheMathCompany or MathCo® is a global Enterprise AI and Analytics company, trusted for data-driven decision making by some of the largest organizations across industries. Founded in 2016, MathCo builds custom data products through its innovative hybrid model and transfers the ownership of intellectual properties to its clients. NucliOS, MathCo's proprietary platform with pre-built workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower TCO. MathCo's full-stack team provides a holistic range of services spanning strategy, advanced analytics, data engineering and governance, MLOps, GenAI, data visualization, and adoption advisory services. MathCo's numerous accolades include recognitions in Gartner's Magic Quadrant for D & A Providers, Everest Group's Peak Matrix Assessment, and being listed as a Great Place to Work. To know more about how MathCo supports organizations to own and activate intelligence, click here.
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Business Standard
36 minutes ago
- Business Standard
OpenAI Academy & NxtWave (NIAT) Launch India's Largest GenAI Innovation Challenge for Students
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Time of India
2 hours ago
- Time of India
Generative Artificial Intelligence and the Future of Marketing
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As the sales landscape continues to evolve, the message is clear: Agility, Innovation, and Customer-centric mindset are no longer optional—they are vital for sustained growth. Companies that understand and adapt to this reality are poised to thrive in the era of AI-powered sales. Generative AI and the Customer Experience Journey (CXJ) drive the next frontier of Market Personalization. The rise of Artificial Intelligence (AI), particularly Generative AI (Gen AI), is reshaping the marketing and sales landscape across three pivotal areas: the customer experience journey (CXJ), growth acceleration, and productivity enhancement. Customer Experience Journey (CXJ) Gen AI enables hyper-personalized content and offerings by leveraging individual customer behaviour, personas, and purchase history. This allows companies to map dynamic customer journeys, identify critical touchpoints, and continuously drive engagement. 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Rufus offers personalized recommendations and product comparisons, helping users make quicker, more informed decisions. This approach enhances the online shopping experience by reducing friction and simplifying choices through AI-driven personalization. Gen AI unlock Value Experiences, New product Development, Innovation, and Customer Service. Value Experiences: From Products to Emotional Connections Consumers are shifting from materialism to meaningful experiences. Today, value lies not just in products but in how customers feel. GenAI is central to this evolution, enabling hyper-personalised, emotionally resonant interactions that build deeper brand loyalty. Modern consumers define value through three pillars: Living It – Immersive, real-world and digital brand experiences, Enhanced Product – Smart, intuitive offerings that adapt and evolve, Lasting Engagement – Sustained emotional and functional value over time. Brands like Coca-Cola are leading this transformation. Their 'Create Real Magic' platform invites digital artists to create AI-generated artworks displayed on global billboards, blending creativity with global reach. The Coke SoundZ app creates audio experiences tied to brand rituals—like the pop of opening a can—deepening sensory connections with users. Kraft-Heinz, too, redefined value experience through playfulness and crowd participation. Its DALL·E 2-powered campaign reimagined "ketchup" visually, engaging younger audiences and rejuvenating brand relevance. These digital-first, emotionally intelligent experiences show how GenAI can enhance customer relationships far beyond traditional marketing. New Product Development: Reimagining What's Possible As GenAI capabilities advance, New Product Development (NPD) is becoming a primary frontier. Combining AI-driven insights with human creativity allows businesses to co-create, test, and iterate at unprecedented speeds. While still in early stages, AI-assisted NPD holds the promise of revolutionising innovation pipelines through Predictive trend modelling, Rapid prototyping of concepts and Smart simulations and digital twins. The Coca-Cola Company is harnessing these advantages through its ' Prod X ' production studio, powered by NVIDIA's GenAI technology. Operating in 100 markets, it enables rapid development and localised innovation—helping the brand adapt products and marketing to diverse consumer cultures. In the medium to long term, GenAI-powered NPD will not only streamline traditional processes but unlock entirely new categories, formats, and experiences. Innovation: Creative Disruption at Speed GenAI is catalysing a renaissance in business innovation. Its multimodal capabilities—blending text, video, image, and audio generation are breathing new life into product design, marketing, and consumer interaction. Examples are abound: Kraft-Heinz's AI-generated ketchup labels created a buzz both in real life and in the Appliances used GenAI to develop Flavory AI, which scans fridge contents to suggest recipes, and AI assistants that simplify appliance planning, fashion styling, and virtual brand avatars are redefining how brands connect with and serve customers. Personalisation is now in hyperdrive, fuelled by machine learning algorithms that adapt experiences in real time. This has led to the emergence of A-Commerce (AI-led commerce) where intelligent agents assist consumers with decisions, purchases, and discovery. The speed of innovation is breathtaking, and we are only at the beginning. Brands that hesitate risk becoming irrelevant in the wake of this accelerating transformation. Customer Service: Loyalty Through Intelligence Customer service has emerged as one of GenAI's most transformative applications, with 16 percent of industry professionals ranking it as a top strategic priority for the next five years. AI tools are already handling everything from FAQs to complex complaint resolution—driving satisfaction and cutting operational costs. But it's not without risks. Mismanagement can damage trust. Key challenges include: Data security and privacy concerns (raised by over 50 percent of industry professionals)Lack of transparency in AI decision-makingCultural and linguistic misalignment Businesses must prioritise ethical deployment, including clear disclosure of AI use and opt-out options for data sharing. In high-stakes areas—such as financial advice or healthcare—GenAI's recommendations must meet high accuracy standards, as service providers will be held accountable. GE Appliances' AI solutions exemplify responsible GenAI service. Instead of frustrating customers with manuals, users get voice-activated support for maintenance and repairs—boosting confidence, usability, and brand satisfaction. When done right, GenAI can become the foundation of brand loyalty, not just a customer service tool. Generative AI can drive the Next Gen Supply Chain Leveraging GenAI to drive operational efficiencies across the supply chain remains the final battleground for businesses looking to leverage the technology's benefits and optimise cost savings. Tackling the supply chain is a strategic priority over the longer term due to the number of external partners involved, leading to higher levels of complexities. As such, many are focusing on lower hanging fruit such as personnel and customer service. Gen AI has started revolutionizing the logistics industry. It's poised to boost performance and trillions of dollars in operations, with roughly $190 billion in travel and logistics and $18 billion in supply chain operations. Gen AI offers value-clearing opportunities across the entire logistics operations value chain. This ranges from core operations—activities like planning, optimization, warehousing, transportation, and asset maintenance—to support functions, like procurement, customer experience, back office, legal, and HR. In a nutshell, gen AI enhances various aspects of the value chain and leverages advanced AI models to create new, content-optimized processes and improve efficiency across logistics operations. The benefits are impressive. For example, gen AI can significantly reduce the lead time for producing documentation by up to 60 percent. This includes auto-generating and consolidating shipping documents, identifying potential mistakes, digesting corrections, and reducing human errors and the workload of logistics coordinators by 10 to 20 percent. While most industry experts anticipate deploying Generative AI (GenAI) to enhance back-end operations over the next five years, the Asia Pacific region is expected to move faster, particularly in its application of GenAI to supply chains. According to McKinsey, 41% of companies in Asia Pacific plan to use GenAI within the next year to improve supply chain efficiency—compared to just 36% globally over the next five years. This regional acceleration is driven by the advanced manufacturing capabilities of countries such as China, South Korea, and Japan, as well as the proactive adoption of next-generation AI by forward-thinking nations like Singapore. Industries such as luxury goods, finance, and travel have reported the most significant impacts from traditional AI over the past year. Meanwhile, sectors like consumer electronics and finance are leading the charge with GenAI adoption. The rise of GenAI is fuelling rapid advances in digitalisation, automation, and business transformation, particularly within white-collar functions. As companies race to capitalise on new opportunities, they are seeking optimal use cases that can harness the vast data-processing capabilities of large language models, including text and image-based inputs. Importantly, GenAI's influence extends beyond the private sector. Governments and all players in the supply chain ecosystem—including regulators and micro, small, and medium enterprises (MSMEs)—are grappling with how to boost efficiency, cut costs, and ensure operational safety and security. Achieving these efficiencies requires cohesive collaboration across the entire chain, from policy to execution. This need for alignment explains why the full benefits of GenAI in supply chains are still gradually unfolding. The transformation of supply chains is happening across the board—from planning to delivery. Automation is gaining traction in customer service roles, exemplified by the growing use of AI copilots. Similarly, dynamic pricing, long used in the travel industry, is now being adopted more widely, including in retail. a pioneering force in autonomous vehicle (AV) technology, is set to roll out a fleet of self-driving vehicles in collaboration with Uber Eats by 2025. This strategic partnership aims to transform the food delivery landscape through cutting-edge AI and automation. The company has attracted significant investor interest, recently securing over USD 1 billion in funding from industry giants including NVIDIA, SoftBank, Microsoft, and Uber. This capital infusion supports the development and deployment of Wavye's next-generation AV2.0 platform. Built on Embodied AI and powered by Generative AI (GenAI) neural networks, AV2.0 vehicles are self-learning, adaptable, and vehicle-agnostic. These systems enable the AVs to process real-world sensor data in real time, allowing them to make dynamic, context-aware driving decisions without human input. While the technological advancements offer exponential gains in efficiency and scalability, consumer trust and safety remain critical. Additionally, the rise of driverless delivery services raises important ethical considerations, particularly regarding potential job displacement in the gig economy—a sector already marked by economic uncertainty. As the industry moves toward greater autonomy, balancing innovation with social responsibility will be essential for long-term success and public acceptance. Singapore stands out as a global leader in GenAI deployment. Under its Smart Nation 2.0 and National AI Strategy 2.0 (NAIS 2.0), the city-state is leveraging GenAI to drive innovation and improve public services. Notably, its "Virtual Singapore" digital twin uses GenAI to simulate scenarios for urban planning, disaster preparedness, and risk management. The government is also partnering with major tech players—such as Google through AI sandboxes and Microsoft via the AI Pinnacle Program—to explore GenAI applications in finance and beyond. These initiatives aim to ensure that GenAI benefits Singapore's residents while mitigating associated risks. Efforts like Job Transformation Maps are being developed to help workers reskill and stay relevant in a changing job market. With strong leadership from the public sector, Singapore is paving the way for the private sector to explore new business models and revenue opportunities built on GenAI. The Importance of GenAI and the Future of Marketing Consumer expectations for greater personalisation continue to grow, with the most digitally savvy audiences demanding richer, more tailored experiences throughout their customer journey. In response, retailers, brands, and hospitality operators are increasingly leveraging Generative AI (GenAI) to enhance interactions, deliver smarter recommendations, and offer highly personalised assistance. In today's competitive market, GenAI empowers businesses to elevate customer interactions from merely functional to genuinely memorable—building deeper relationships and fostering stronger brand loyalty. GenAI is transforming the marketing landscape by enabling: Dynamic content creation at scaleFaster operations and streamlined workflowsGreater audience engagement through hyper-personalised experiencesLocalized advertising and precise post-campaign analysisUpskilling opportunities for marketing teamsCost efficiencies and automation of repetitive tasks Importantly, GenAI is also enhancing creativity in product ideation and development. It supports the optimisation and scalable measurement of content performance, driving both innovation and impact. As adoption increases, performance-oriented marketing metrics will evolve. Human oversight will remain critical to ensure quality control, copyright compliance, and brand consistency. For smaller businesses, a more measured approach—adopting GenAI on a manageable scale—can help test its value and compatibility with internal operations. GenAI is no longer a fringe innovation, it is reshaping the commercial and creative landscape. By redefining value, accelerating innovation, transforming product development, and enhancing service delivery, GenAI presents an unprecedented opportunity for growth. The brands embracing GenAI aren't just keeping pace—they're setting the standard for a more intelligent, engaging, and profitable future. For those yet to begin, the message is clear: adapt now or risk being left behind. So, whether your organisation thought to execute the Generative Artificial Intelligence to empower businesses and to elevate customer interactions from merely functional to genuinely memorable—building deeper relationships and fostering stronger brand loyalty? (The Author is Professor, Trainer, and Consultant in Marketing at Lal Bahadur Shastri Institute of Management, New Delhi, India. The views expressed are personal.)


New Indian Express
2 hours ago
- New Indian Express
Odisha government to set up CoE on semiconductors at IIIT-BBS
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