Group 1 - Tevogen Bio Holdings Inc. announced that Mittul Mehta, Chief Information Officer, will speak at the Microsoft Fabric Community Conference (FabCon 2026) from March 16–20, 2026, in Atlanta, Georgia [1] - Mr. Mehta will participate in sessions discussing the transformation of data engineering through agentic AI, focusing on adaptive workflows and governance considerations [1][2] - Tevogen.AI aims to apply advanced machine learning to biomedical discovery, including a published international patent application for predicting immunologically active peptides [2] Group 2 - Tevogen is a healthcare enterprise focused on affordability, efficiency, and scientific rigor, leveraging AI and precision T cell therapy to develop life-saving therapies [4] - The company has completed a proof-of-concept clinical trial for its genetically unmodified allogeneic T cells, with a pipeline that includes virology, oncology, and neurology [5] - Tevogen.AI is designed to enhance drug development by accelerating target detection and optimizing clinical trial design through predictive technologies [6] Group 3 - Tevogen is exploring strategic initiatives in domestic generics, biosimilars, medical devices, and innovative insurance solutions to broaden patient access and advance sustainable innovation [7] - The company collaborates with technology leaders like Microsoft and Databricks to support its long-term goals in therapeutic discovery [6]

Awesome job opening 😀William Spearman (@the_spearman):We’re recruiting for a Data Engineer to join our Research team at Liverpool FC. In my (perhaps biased) view, it’s a great opportunity to join an excellent team, work at the forefront of sports analytics, and have a tangible impact. https://t.co/JlFxXCUIsS ...

I would like to start with a famous phrase, the data is the new oil. It has been just coined by the famous mathematician Clive Haye. When you live from far away from your family, even a small things can make you happy.And one of the thing is sending money back home. And when you press send it takes time it might takes two to three days you might be nervous but the same way you feels anxious the what something goes wrong it won't be unclear according to the global bank world bank also says like more than 860 ...

Core Insights - Innodata Inc. has secured a partnership with Palantir Technologies to provide specialized data engineering and high-quality training data, focusing on annotating rodeo video footage for computer vision models [1][8] - The partnership enhances Innodata's role in advanced physical AI workflows, allowing it to handle complex datasets while adhering to strict security protocols [2][3] - The collaboration reflects the growing demand for sophisticated data engineering as AI becomes integral to enterprise value and competitiveness [3] Company Overview - Innodata specializes in high-complexity data engineering and AI model training, differentiating itself from competitors like ExlService Holdings and Unisys Corporation, which focus on enterprise data transformation and workflow automation, respectively [4][5][6] - Innodata's recent stock performance shows a 72.2% increase over the past year, significantly outperforming the Zacks Business Services sector, which declined by 15.5% [7] Financial Metrics - Innodata's stock trades at a forward price-to-earnings ratio of 53.07, which is considerably higher than the industry average of 24.99 [10] - The Zacks Consensus Estimate for Innodata's 2026 earnings remains unchanged at $1.20, with current quarter and next quarter estimates at $0.22 and $0.25, respectively [12][13]

Core Insights - Dave Inc. has appointed Nima Khajehnouri to its Board of Directors, effective immediately, to enhance its technical leadership and innovation capabilities [1][2] - The company is undergoing leadership transitions within its Board, with Mike Pope becoming Lead Independent Director and Andrea Mitchell appointed as Chair of the Nominating and Corporate Governance Committee [3] Company Developments - Nima Khajehnouri brings over 20 years of engineering leadership experience from major tech companies, including Meta, Google, and Snap, which aligns with Dave's focus on deploying disruptive technologies [2][4] - The leadership changes reflect a strategic approach to evolving the Board in line with the company's growth and development [4] Leadership Statements - The CEO of Dave expressed enthusiasm about Khajehnouri's expertise in AI and data-driven innovation, highlighting the importance of his contributions to the company's mission [4] - Khajehnouri expressed excitement about joining the Board and contributing to Dave's goal of providing innovative banking services [4] Background Information - Nima Khajehnouri has held significant engineering roles, including Vice President of Engineering at Meta since May 2025, and has a strong academic background in Electrical Engineering and Computer Science [5] - Dave is recognized as a leading neobank and fintech pioneer, serving millions of Americans with cost-effective banking services [6]

RT nick | helius.dev (@nick_pennie)i'm hiring a new role: product research engineerat @heliuslabs we have too many ideas on what to build next. we need to narrow it down – that's where you come inthis role combines:- data engineer- product owner- researcheryou will:- build data pipelines to analyze/forecast product usage, revenue, and costs- conduct network & ecosystem research- talk with customers/users and learn their problemsyou'll work directly with the founders and help us shape a roadmap that enables ...

Financial Data and Key Metrics Changes - Product revenue in Q3 was $1.16 billion, up 29% year over year [4] - Remaining performance obligations totaled $7.88 billion, with year-over-year growth accelerating to 37% [5] - Net revenue retention remained stable at 125% [5] - Non-GAAP product gross margins were 75.9% [18] - Non-GAAP operating margin expanded more than 450 basis points year-over-year to 11% [18] - For Q4, product revenue is expected between $1.195 and $1.2 billion, representing 27% year-over-year growth [19] - FY26 product revenue guidance raised to approximately $4.446 billion, representing 28% year-over-year growth [19] Business Line Data and Key Metrics Changes - Financial services and technology verticals led growth in Q3 [17] - 28% of all use cases deployed during the quarter incorporated AI [9] - 50% of the bookings signed in Q3 were influenced by AI [8] Market Data and Key Metrics Changes - Over 7,300 accounts are using Snowflake's AI capabilities weekly [6] - The company added a record 615 new customers in Q3 [5] - Snowflake surpassed $2 billion in sales through AWS Marketplace in a single calendar year [15] Company Strategy and Development Direction - Snowflake aims to empower enterprises through data and AI, focusing on operational rigor and product innovation [4] - The company is expanding partnerships with major cloud providers and AI model developers to enhance its offerings [16] - New partnerships with companies like SAP and Anthropic are designed to deepen integrations and accelerate enterprise AI adoption [10][14] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the company's growth trajectory, emphasizing the importance of AI in driving customer relationships and revenue [8][19] - The company is focused on efficient growth while maintaining financial discipline [21] - Management highlighted the strong demand for Snowflake's AI data cloud and the transformative impact on customer businesses [20] Other Important Information - The company achieved a major milestone of $100 million in AI revenue run rate, one quarter earlier than anticipated [8] - Snowflake maintained a rapid pace of innovation, bringing total GA product capabilities to 370 year-to-date, a 35% increase over last year [11] Q&A Session Summary Question: Growth rates on product revenue and Q4 guidance - Management noted a 29% year-over-year revenue growth and raised FY guidance by $51 million to $4.446 billion, indicating strong underlying customer behavior [22][24] Question: Types of customers using AI products - Management highlighted various customers leveraging Snowflake Intelligence, including the USA Bobsled team and Fanatics, showcasing the product's ability to unlock data access and drive business value [25][27] Question: Go-to-market strategy and new customer wins - Management indicated that Snowflake Intelligence plays a key role in customer acquisition, allowing for hyper-customized demos that demonstrate the platform's value [29] Question: Impact of migrations on product revenue - Management stated that they are still early in the migration process and expect AI to accelerate these migrations, enhancing product value [35] Question: Zero Copy agreements and their impact - Management explained that Zero Copy agreements facilitate smoother data sharing and collaboration, enhancing the overall value proposition for customers [37][38] Question: Customers tying Snowflake investments to AI budgets - Management confirmed that many customers are increasingly linking their Snowflake investments to AI initiatives, leading to larger and longer-term contracts [40] Question: Growth of AI revenue and future milestones - Management indicated that the $100 million AI revenue run rate is primarily driven by the Cortex product suite and expects continued growth in AI adoption [50][59]

Data Trends in 2026 - Industry anticipates the emergence of Agent-Ready Data as a key trend [1] - GenAI For Data Engineering is expected to play a significant role [1] - Data Provenance will be a crucial aspect of data management [1] - Compliance And Regulatory Changes will shape data practices [1]

After Doc GPT was launched, uh we found contract review times cut by more than 50%. Our mandate is is very simple. We built uh data engineering solutions to uh enable the better quality of life for our finance professionals that we serve.They were doing the contracts review manually. they would eyeball each and every contract and try to painstakingly extract every term. We have seen that number of contracts closed in a month uh to reach even the low thousands now.So Docy GBT is a suite of solutions to proce ...

Core Insights - Cloudera collaborates with Krutrim to enhance data engineering, AI training, and inference capabilities, aiming to improve operational efficiency [1][2] - The partnership will enable Krutrim to leverage Cloudera's solutions for large-scale analytics and data lake workloads, initially supporting Ola and later expanding to other enterprise clients [1][2] - Krutrim is developing a vertically integrated cloud infrastructure tailored for enterprise needs, focusing on AI-driven applications for the Indian market [1][2] Company Overview - Cloudera is recognized as a trusted data and AI platform that seamlessly integrates AI into any data environment, utilizing mature open-source technology [3] - The company provides a unified cloud experience that combines public cloud, on-premises data centers, and edge environments, empowering enterprises to manage data effectively [3] - Cloudera's solutions enhance data security, governance, and provide real-time and predictive insights, helping top brands across various industries transform decision-making and improve profitability [3]