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PathFactory Launches Zero Copy Integration on Snowflake AI Data Cloud

PathFactory Launches Zero Copy Integration on Snowflake AI Data Cloud

Martechvibe24-02-2025

Zero Copy Integration, Powered by Snowflake, will enable joint customers to capture advanced content engagement data.
PathFactory announced the launch of Zero Copy integration on the Snowflake AI Data Cloud. This new integration, Powered by Snowflake, will enable organisations to eliminate traditional data extraction, transformation, and loading (ETL) processes, enabling faster, more secure, and more efficient data sharing.
'With this integration, PathFactory is making it easier than ever for organisations to connect their engagement data with their broader data strategies,' said Dev Ganesan, CEO, PathFactory. 'Together with Snowflake, we're empowering our customers to unlock the true potential of their content and engagement insights without the barriers of traditional ETL processes.'
By leveraging the Snowflake AI Data Cloud, PathFactory is joining Snowflake in mobilizing the world's data to help organisations redefine how they access, analyse, and leverage PathFactory's Content Engagement Data.
Key Benefits of the Integration Zero ETL Efficiency : PathFactory customers can share data seamlessly with Snowflake across major cloud providers (AWS, GCP, Azure), enabling flexibility and scalability.
: PathFactory customers can share data seamlessly with Snowflake across major cloud providers (AWS, GCP, Azure), enabling flexibility and scalability. Enhanced Analytics : The integration enables businesses to gain actionable insights into page views, sessions, and visitor behaviors via Snowflake's powerful analytics capabilities.
: The integration enables businesses to gain actionable insights into page views, sessions, and visitor behaviors via Snowflake's powerful analytics capabilities. Bi-directional Data Exchange: Customers can leverage PathFactory's APIs and webhooks alongside Snowflake's infrastructure to connect data seamlessly with platforms like Salesforce and SalesLoft.
'PathFactory's commitment to helping Snowflake mobilise the world's data can be seen through the launch of Zero Copy integration,' said Kieran Kennedy, Global Head, AI Data Cloud Products at Snowflake. 'We look forward to driving deeper value for Snowflake's AI Data Cloud ecosystem through collaboration with PathFactory to allow access to better ways to share data through Snowflake's single, integrated platform.'
Collaborating with Snowflake to launch the Zero Copy integration, PathFactory enables joint customers to discover enriched content intelligence, enabling them to understand audience behavior, optimise content strategies, and drive better engagement.
By building tools, applications and solutions on Snowflake, product and engineering teams are able to develop, scale, and operate without operational burden, delivering differentiated products to their customers. Snowflake AI Data Cloud Product Partners help customers optimise Snowflake's flexibility, performance, and ease of use to deliver more meaningful insights. AI Data Cloud Services Partners provide industry experience, technical expertise, and strategic best practices to help customers mitigate risk and drive business value with Snowflake throughout their entire data and AI journey.
The Martechvibe team works with a staff of in-house writers and industry experts.
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Magnolia is a composable DXP that comes with no-code connector packs and low-code micro-frameworks for third-party integrations. It also offers an open-source version alongside its commercial plans enabling enterprises to build tailored use cases.
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Liferay DXP helps marketers deliver personalised and connected digital experiences across a broad range of channels, including customer portals, websites, intranets, mobile apps, and connected devices. It offers intuitive CMS, user analytics, and site management tools that businesses need to launch, test and optimise digital experiences for faster go-to-market.
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Powered by IBM Consulting, IBM iX offers a composable DXP, providing a comprehensive solution to make enterprises' systems future-ready. Utilising its data-driven insights and intelligent workflows, marketers can design and deliver human-centred experiences across the customer lifecycle.
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HCL Digital Experience (DX), forms part of a wider HCL Customer Experience (CX) product portfolio, offering core capabilities such as content management, DAM, CDP called Signals, and low-code application development. It provides services in government, life sciences, insurance, financial services, and other verticals.
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Contentstack is a headless CMS and Composable Digital Experience Platform (DXP) solution provider that helps marketers gain a competitive edge. It recently launched into Google Cloud Marketplace, and is also available on Microsoft Azure and AWS. It seamlessly enables mid-market brands to adopt its omnichannel campaign engine to drive higher conversions and sales.
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Bloomreach Commerce Experience Cloud provides businesses an edge with its modular capabilities: Content Management System (CMS), Discovery features for search and merchandising optimisation, and Engagement tools such as Customer Data Platforms (CDP) for personalisation and analytics.
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Adobe Experience Cloud offers a comprehensive set of services specifically designed to address the day-to-day requirements for personalised customer experience at scale. Its platform helps manage different digital content and assets to improve customer satisfaction. Some of its products include Adobe Gen Studio, Experience Manager Sites, Real-time CDP, and Marketo Engage.
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Acquia offers DXP solutions, comprising of two main elements: Acquia Drupal Cloud and Acquia Marketing Cloud. It can be accessed in both platform-as-a-service (PaaS) and software-as-a-service (SaaS) with additional components such as Site Factory for multisite management, digital asset management (DAM), CDP, personalisation, and Campaign Studio.
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IntelliDent AI and Woxsen University forge strategic alliance to advance AI research, leadership & innovation in healthcare
IntelliDent AI and Woxsen University forge strategic alliance to advance AI research, leadership & innovation in healthcare

Zawya

time4 hours ago

  • Zawya

IntelliDent AI and Woxsen University forge strategic alliance to advance AI research, leadership & innovation in healthcare

IntelliDent AI, a Dubai-based healthtech company at the forefront of artificial intelligence solutions in dentistry, has signed a Memorandum of Understanding (MoU) with Woxsen University's AI Research Centre, Hyderabad, India. The five-year strategic partnership aims to drive collaborative innovation through joint research, live project exposure, and advanced technical training. This collaboration is designed to fuel co-innovation, AI-driven entrepreneurship, and cutting-edge research in digital healthcare. Under this agreement, IntelliDent AI and Woxsen University will engage in joint academic-industry initiatives focused on AI-driven healthcare solutions, consultancy-based projects, and the commercialization of technology innovations. The MoU outlines cooperation in the following key areas: Real-World AI Projects: IntelliDent will provide students from Woxsen's AI Research Centre hands-on exposure to live, real-time projects from the healthcare domain—preparing them to address real-world challenges with AI-driven solutions. Joint Research & Publications: Both institutions will collaborate on research grants, white papers, product prototypes, and academic publications that shape the future of medical technology. Entrepreneurship & Product Commercialization: Special focus will be placed on developing products from ideation to market readiness, with guidance on building startups and commercializing AI health tech solutions. Cross-Training & Knowledge Exchange: Faculty and industry professionals will exchange expertise in best practices, fostering a culture of mutual growth and continuous innovation. Strategic Awareness Initiatives: Co-hosted awareness programs, leadership bootcamps, and innovation challenges will promote ethical AI, responsible leadership, and entrepreneurship across emerging markets. Speaking on the occasion, Mr. Affaan Shaikh, Founder and CEO of IntelliDent AI, stated: 'This MoU with Woxsen isn't just about technology, it's about inspiring a generation of AI leaders who blend deep tech knowledge with entrepreneurial thinking and purpose-driven leadership. By embedding awareness, education, and innovation into every layer of this partnership, we are not only building smarter healthcare systems, but also empowering future changemakers.' The MoU was signed by Dr. Raul V. Rodriguez, Vice President of Woxsen University, and Mr. Affaan Shaikh, with oversight by Dr. Hemachandran K, Director of the AI Research Centre, and Mr. Khalid Shaikh, Advisor to IntelliDent AI. This milestone underscores IntelliDent AI's commitment to shaping global talent in healthcare AI and highlights Woxsen's ongoing mission to blend business, technology, and innovation through meaningful industry collaborations. Together, IntelliDent AI and Woxsen University are setting the foundation for impactful, future-forward education —where research, leadership, and real-world problem-solving converge.

Asian equities see largest monthly foreign inflow in 15 months
Asian equities see largest monthly foreign inflow in 15 months

Gulf Today

time6 hours ago

  • Gulf Today

Asian equities see largest monthly foreign inflow in 15 months

Asian equities attracted strong foreign inflows in May as concerns over an immediate economic hit from higher US tariffs eased, prompting a return by investors who had previously exited large and concentrated positions in the region. The inflows marked a sharp reversal after four consecutive months of net foreign selling. According to data from LSEG, foreign investors bought approximately $10.65 billion worth of equities across India, Taiwan, South Korea, Thailand, Indonesia, Vietnam, and the Philippines, registering their largest monthly net purchase since February 2024. US President Donald Trump's announcement of reciprocal tariffs in early April stoked concerns over the impact on Asian exports, exporter margins, and regional supply chains, but a subsequent 90-day pause for most countries later in the month helped ease investor fears and revive interest in regional assets. Goldman Sachs said it has revised its earnings growth forecast for MSCI Asia Pacific ex-Japan (MXAPJ) to 9 per cent for both 2025 and 2026, raising estimates by 2 and 1 percentage points, respectively, citing stronger macro growth in China and US-exposed markets. The upgrade was also supported by $600 billion in AI-related investments from Saudi Arabia to US firms, which are expected to benefit Taiwan and Korea, though the impact may be partially offset by a weaker dollar, the brokerage said. Taiwan equities witnessed $7.28 billion worth of foreign inflows, the largest monthly cross-border net purchase since November 2023. Foreigners also acquired a significant $2.34 billion worth of Indian stocks in their largest monthly net purchase since September 2024. South Korean, Indonesian and Philippine stocks also saw foreign inflows worth a net $885 million, $338 million and $290 million, respectively, while Thai stocks suffered $491 million of net selling. Despite heightened market volatility in the first half of the year driven by concerns over President Trump's trade policies, the MSCI Asia-Pacific Index has risen about 8.8 per cent year-to-date, outperforming both the MSCI World Index, which is up 5.4 per cent, and the S&P 500 Index, which has gained 0.98 per cent. Asian currencies were steady on Friday and poised for weekly gains after a phone call between US President Donald Trump and Chinese leader Xi Jinping signalled further trade talks, while most regional equities tracked Wall Street's overnight losses. In India, equities reversed course to rise 0.9 per cent after the Reserve Bank of India delivered a larger-than-expected cut to its key repo rate and lowered the cash reserve ratio to bolster economic growth. 'The RBI may have decided to move quickly to a more appropriate policy rate level. A shift towards neutral stance means more rate cuts may be unlikely in the near-term,' Jeff Ng, Head of Asia Macro Strategy at SMBC, said. The rupee inched up 0.1 per cent to 85.74 per dollar. Other regional currencies moved within a narrow band. The Thai baht and Singapore dollar were largely flat but were on track for weekly gains of 0.5 per cent and 0.4 per cent, respectively. The Malaysian ringgit was up nearly 0.6 per cent for the week. MSCI's index of emerging market currencies was flat after touching an all-time high on Thursday. The index is up 0.5 per cent for the week. The dollar index was little changed, after hitting a six-week low on Thursday, and was headed for a weekly loss of 0.5 per cent. Trump's erratic tariff moves and a worsening US fiscal outlook have triggered a flight from the dollar, prompting analysts to expect most emerging market currencies will retain or build on their gains over the next six months. In their closely watched hour-long phone call on Thursday, Xi pressed Trump to ease trade tensions that have rattled the global economy and warned against provocative moves on Taiwan, according to a summary released by the Chinese government. But Trump said on social media that the talks, focused primarily on trade, led to 'a very positive conclusion'. 'The talks look positive, and coupled with Federal Reserve rate cut expectations due to weak US data, might lead to further USD softening,' said Saktiandi Supaat, Head of FX research at Maybank. Markets are now bracing for the US jobs and non-farm payrolls report due later in the day, with concerns that a downside surprise could stoke stagflation fears and boost pressure on the Federal Reserve to quickly ease policy. Reuters

Executive education: Accenture's Abir Habbal on preparing AI-savvy leaders
Executive education: Accenture's Abir Habbal on preparing AI-savvy leaders

Gulf Business

time12 hours ago

  • Gulf Business

Executive education: Accenture's Abir Habbal on preparing AI-savvy leaders

Image: Supplied The AI revolution isn't coming — it's already here. But for most business leaders, bridging the gap between AI hype and actionable strategy remains a challenge. Enter the Generative AI Scholars Programme, a joint initiative by Accenture and Stanford University, now being rolled out across the Middle East. In this interview, Abir Habbal, Data and AI Strategy & Consulting lead at Accenture in the Middle East, explains what makes this programme more than just another executive course. From bite-sized modules grounded in Stanford's academic legacy to real-world applications tailored for the region's ambitious digital visions, this programme is designed to turn C-suite curiosity into capability. Habbal also shares why the UAE and Saudi Arabia are ideal launchpads, highlights the top misconceptions around AI adoption, and offers a glimpse into the real business impact already emerging from this new generation of AI-savvy leaders. In your view, what role can executive education like this play in accelerating the region's digital transformation — and what's still needed to close the gap between ambition and impact? Executive education programmes are instrumental in accelerating the Middle East's AI transformation by comprehensively equipping leaders for the AI era. They are crucial for building AI-literate leadership, empowering decision-makers across the GCC to not only understand AI's potential but also to strategically apply it within their organisations. This involves a fundamental shift in mindset: moving from viewing AI purely as an IT function to recognsing it as a catalyst for business model transformation and sustainable growth. By fostering AI fluency, these programmes bridge the communication gap between the c-suite and technical teams, enabling more productive dialogues and streamlined decision-making, which is vital for the region's ambitious national AI strategies. However, to fully close the gap between this ambition and tangible impact, several critical elements are still needed. Beyond leadership, there must be a broader investment in role-based AI training across all levels of the workforce, ensuring everyone understands how AI integrates into their daily tasks and contributes to organisational goals. Furthermore, the emphasis on responsible AI must be woven into the fabric of every initiative, with clear governance models addressing data privacy, bias, and transparency from inception, as this builds crucial trust for widespread adoption. Ultimately, sustained success hinges on a commitment to scaling what works, fostering a culture of continuous learning and experimentation, and aligning AI innovation directly with national economic diversification and digital transformation priorities across the region. There's growing awareness of AI across industries — but a notable gap when it comes to implementation. What are the most common misconceptions or barriers you see among business leaders trying to adopt AI? Despite high awareness, a significant gap exists between AI understanding and real-world implementation among business leaders. Accenture's research highlights that while 84 per cent of c-suite executives believe they must leverage AI to achieve their growth objectives, only 15 per cent feel their organization is truly ready to scale it. The most common misconceptions and barriers include: Uncertainty about where to start: The rapidly evolving AI landscape makes it challenging to differentiate hype from achievable business value. Lack of leadership alignment: If c-suite leaders (CIO, CFO, CHRO) don't operate from a shared understanding, AI initiatives often stall at the pilot stage. Organisational unreadiness: Many businesses lack the foundational data infrastructure, skilled talent, or robust governance frameworks needed for responsible AI scaling. As Accenture's research indicates, 70-80 per cent of AI initiatives never move beyond the pilot phase, and while many focus on technical capabilities, successful AI implementation is predominantly a people and process challenge. Misconception of AI as purely an IT initiative: Leaders often fail to see AI as a core strategic imperative for growth, innovation, and competitiveness, viewing it simply as a technological tool rather than a catalyst for business model transformation. Risk avoidance over responsible risk-taking: Concerns around ethics, trust, and governance, while valid, can lead to a paralysis of innovation if not balanced with a strategy of embracing innovation with built-in guardrails and responsible AI practices from day one. Lack of clarity on ROI: A significant barrier is establishing ROI on identified opportunities and making a business case for scaling initiatives, which are often perceived as more challenging than technical limitations Can you walk us through what makes this programme distinct from other executive education offerings — particularly in how it blends Stanford's academic insights with real-world application? The programme includes easily digestible, bite-sized modules, industry spotlights, case studies, and reflection activities, ensuring participants not only grasp complex concepts like technical fundamentals, foundation models, and prompt engineering but also develop the generative AI strategy and technology know-how for real-world application. This approach aims to spark reinvention agendas that can profoundly transform businesses, enabling leaders to drive innovation and navigate the digital economy effectively. Why was the Middle East chosen as the next region for the rollout of this programme, and how has the regional business landscape influenced its evolution or delivery? The Middle East, specifically Saudi Arabia and the UAE have emerged as prime focus for the rollout of programmes like the Generative AI Scholars Program due to the country visions and their unparalleled ambition and strategic commitment to becoming global leaders in AI. This region is not merely adopting AI; it's actively leading its development and integration into national visions. Both nations are making substantial financial commitments to AI infrastructure, research centers, and digital ecosystems. This includes significant government-backed AI R&D funds, free zones offering incentives for AI businesses, and partnerships with global cloud technology organisations. The region is not just investing in technology but also in building a modern digital core, which Accenture sees as essential for continuous reinvention and for organisations to rapidly seize every opportunity presented by AI. Recognisng that technology adoption requires human capital, these nations are heavily investing in developing AI fluency across their workforces, from top leadership to technical teams. We are working with MCIT Saudi Arabia in an Accenture artificial intelligence training programme organised by the Accenture LearnVantage Academy. These programmes directly address human capital requirements by equipping senior officials and business leaders with the mindset and skills needed to lead with AI responsibly. As the programme moves from theory to action, what kind of real-world business outcomes are participants expected to achieve? Can you share any early examples from previous rollouts globally? The expected real-world business outcomes are centered on driving measurable value and competitive advantage. Accenture identifies these outcomes as broader and more strategic than just cost savings. Participants are expected to achieve: Enhanced decision-making: AI tools help leadership teams make faster, more informed decisions, leading to improved strategic agility. Increased employee productivity and empowerment: By leveraging AI, leaders can free up time for their teams to focus on high-impact work rather than being buried in manual analysis or reporting. This contributes to a positive human-AI relationship, which Accenture believes is a key priority for leaders. Tangible business impact: Strategies informed by AI insights are expected to translate into winning new business, improving customer satisfaction, and accelerating the launch of initiatives. Accenture's AI Achievers report indicates that 63 per cent of high-performing companies say they've already achieved measurable ROI from their AI investments within three years. Accelerated organistional agility: AI helps organisations react faster to market changes, or spot opportunities we would've missed before, fostering a state of continuous reinvention. Business model transformation: Rather than just incremental gains, organizations are expected to achieve step-change improvements in revenue, efficiency, and customer experience by integrating AI effectively, as leaders rethink how digital systems are designed, how people work, and how they create products and interact with customers. Innovation at scale: The programme aims to unlock creativity and accelerate progress, sector by sector, by empowering people to reimagine what's possible with AI.

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