Latest news with #R-based
Arabian Post
6 days ago
- Business
- Arabian Post
Anaconda secures $150 million to advance AI technology
Arabian Post Staff -Dubai US-based artificial intelligence company Anaconda, Inc. has raised $150 million in a Series C funding round, marking a significant milestone in its expansion plans. Mubadala Capital, the asset management arm of Abu Dhabi's Mubadala Investment Company, is among the key investors. This round, led by US software investor Insight Partners, aims to accelerate Anaconda's growth, focusing on new AI capabilities, strategic acquisitions, and expanding into new markets. The company, founded in 2012, is dedicated to advancing AI with open-source tools, providing an essential framework for developers, data scientists, and engineers globally. Anaconda's mission is to drive large-scale AI adoption through its platform, which has gained significant traction in the AI and machine learning ecosystems. ADVERTISEMENT As of July 2025, Anaconda has reported over $150 million in annual recurring revenue, reflecting its increasing dominance in the industry. The company's software solutions cater to an expanding customer base, including organisations looking to incorporate AI into their operational frameworks. The funding will primarily support Anaconda's continued product innovation, along with its push to enhance its presence in international markets. Anaconda's unique selling proposition lies in its open-source tools that democratise access to advanced AI and ML frameworks. With a strong developer community and a rich ecosystem of libraries and tools, Anaconda has become synonymous with Python and R-based data science solutions. The company's efforts in open-source software are in line with a broader industry trend, where collaboration and knowledge sharing are key to driving innovation. The involvement of Mubadala Capital underscores the growing interest of Middle Eastern investors in global tech startups. Mubadala has a long history of investing in transformative companies, particularly in the technology and innovation sectors. By supporting Anaconda, Mubadala is positioning itself at the forefront of AI's global expansion. In addition to the capital infusion, Anaconda aims to make strategic acquisitions to broaden its portfolio of AI technologies. As AI becomes increasingly critical across industries—from healthcare and finance to manufacturing and entertainment—the demand for robust, scalable AI platforms continues to rise. Anaconda's focus will likely extend to acquiring complementary AI firms that enhance its platform's capabilities, particularly in specialised areas like natural language processing, deep learning, and AI-driven data analytics. The Series C funding is a testament to the growing confidence in Anaconda's potential to shape the future of AI. The company's ability to secure such a significant investment speaks to the strength of its market position and the value placed on its open-source model. Insight Partners, a prominent software investor, has a track record of backing companies that disrupt traditional industries with innovative technologies. This partnership reflects the increasing recognition of Anaconda's role in enabling AI adoption at scale. Despite the ongoing challenges faced by the tech industry, such as regulatory scrutiny and the need for robust data privacy protocols, Anaconda has shown resilience in its business model. The company has consistently demonstrated the scalability and flexibility of its products, which cater to a wide range of use cases. From startups to large enterprises, Anaconda's platform has become a go-to solution for developing AI applications efficiently. As Anaconda expands its reach, it will need to navigate the evolving landscape of AI regulations, which continue to shift globally. In markets such as Europe and North America, there is growing concern over the ethical implications of AI and data privacy. The company's ability to address these concerns while continuing to innovate will be crucial to its long-term success. The funding will also enable Anaconda to strengthen its partnerships with key tech firms and expand its network of collaborators. As AI technology continues to evolve, Anaconda's role in shaping its future will likely be central to the wider conversation on AI governance and ethics. By partnering with other tech leaders, Anaconda can continue to push the boundaries of what's possible with open-source AI technology, ensuring it remains at the forefront of the AI revolution.
Forbes
04-04-2025
- Science
- Forbes
Breaking Into Statistical Programming
Kishore Pothuri, Executive Director of Biometrics, Clinical Data Service and Operations, Vita Global Sciences. Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there's no single path to success in this field. Instead, securing a role depends on your transferable skills, technical expertise, problem-solving abilities and the professional network you build along the way. Historically, many statistical programmers have come from fields such as mathematics, pharmaceuticals, technology and even agronomy. Having a formal degree in statistical programming isn't a requirement—what matters most are analytical skills, coding expertise and a strong understanding of clinical trial processes. What's drawing professionals to statistical programming? For many, it offers stability, career growth and the opportunity to work on impactful healthcare innovations. Whether transitioning from biostatistics, software engineering or a broader STEM field, developing programming expertise—especially in the Statistical Analysis System (SAS), R, Python, artificial intelligence (AI) and machine learning (ML)—can pave the way for a smooth transition into clinical programming roles. The traditional dominance of SAS in clinical programming is evolving as companies explore the integration of R, Python and AI-driven analytics. For instance, regulatory agencies like the FDA now accept R-based submissions, making it increasingly valuable alongside SAS. Also, Python's versatility makes it useful for automating workflows, handling large datasets and integrating AI and ML models into clinical research. Furthermore, AI and ML applications in clinical trials are expanding, including predictive modeling for patient recruitment, automated anomaly detection in data quality checks and advanced biomarker discovery. Pharmaceutical and biotech companies are also leveraging AI-driven insights to optimize trial efficiency, making knowledge in these areas highly desirable. In today's industry, statistical programmers need to build a well-rounded skill set that includes: • Proficiency In SAS: SAS is still a dominant tool in regulatory submissions and clinical data analysis. • Expertise In R And Python: These open-source languages are becoming increasingly popular for statistical modeling, exploratory data analysis, data manipulation, data visualization and ML applications, especially in clinical research. • Familiarity With AI And ML: Understanding AI and ML concepts and their applications in clinical trials can provide a competitive edge. In particular, courses on AI and ML applications in healthcare can help bridge the gap between programming and data science. • Knowledge Of CDISC Standards: Understanding the Clinical Data Interchange Standards Consortium (CDISC) standards, such as the study data tabulation model (SDTM), analysis data model (ADaM), and electronic case report tabulation (eCRT) package submission, is crucial for clinical programmers involved in regulatory compliance and submissions. • The Ability To Generate Tables, Listings And Figures (TLFs) For Clinical Studies: This is a core responsibility of statistical programmers. • Experience With Real-World Projects: Gain experience by creating TLFs, SDTMs and ADaMs and exploring open-source datasets. To maximize your chances of breaking into the field, also consider earning SAS certifications. This is a great way to validate your skills and gain credibility in the industry. Finally, successful statistical programmers often attribute their growth to strong mentors who guided them early in their careers. If you're a hiring manager, investing in mentorship programs can significantly improve employee retention and engagement. For new programmers, finding a mentor can accelerate learning and career progression. After honing the technical skills above, preparing for interviews is the next step. Here's how to approach it: • Practice real-world coding problems. Sites like PHUSE, PharmaSUG and Kaggle offer great practice materials. • Prepare for "soft-skill" questions. Employers look for problem-solving abilities, teamwork and communication skills. • Stay updated with industry trends. Follow AI and ML advancements in clinical research to demonstrate your forward-thinking mindset. When looking for a statistical programming role, seek out organizations where you can grow and expand your skill set. Many programmers start at contract research organizations (CROs) or biometrics service providers, where they gain hands-on experience across multiple projects. These roles offer a great foundation in clinical trial programming and allow professionals to develop expertise in different therapeutic areas. The role of statistical programmers is expanding beyond traditional clinical programming. As AI and ML continue to make waves in life sciences, professionals who adapt and learn these advanced technologies will be at the forefront of industry innovation. Companies are increasingly seeking talent with a hybrid skill set—someone who understands regulatory compliance, clinical trial data, statistical methodologies and emerging technologies like AI and ML. If you're considering moving to a role in statistical programming, now is the time to invest in your skills, expand your knowledge beyond SAS and embrace the power of R, Python, AI and ML. The demand for data-driven professionals in healthcare and clinical research continues to grow, making statistical programming a highly rewarding and future-proof role. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
