What does “AI readiness” actually mean? Every business leader will define this term differently. Some may refer to “GPU capacity,” while others may define it as “clean data” or “MLOps.”….
What does “AI readiness” actually mean? Every business leader will define this term differently. Some may refer to “GPU capacity,” while others may define it as “clean data” or “MLOps.”….
Learn how Google Gemini Enterprise empowers agentic enterprises with custom AI agents, enterprise search, unified data access, secure automation, and intelligent decision-making at scale.
Learn how Agentic AI unifies game server ops, cheat detection, player retention, and live-service operations to improve gaming performance and growth.
Why Agentic AI and cloud platforms are the future of data warehousing…
In 2026, most business conversations around enterprise AI follow a predictable pattern…
Every CTO is aware of the legacy cycle. An existing legacy system is decommissioned after migration. However, after 18 months, there’s the next cycle of …
Enterprise AI projects often fail because critical business knowledge, data lineage, and definitions live in silos. Discover how Wingspan’s Semantic Twin builds organizational memory for scalable AI transformation.
For years, Robotic Process Automation (RPA) was the enterprise gold standard for efficiency. It promised to…
Explore how Onix’s forensic AI detects financial fraud using multimodal data, spatial logic, and real-time insights to reduce false positives and speed decisions.
Transform legacy ETL and SQL systems with Onix Raven. Accelerate data modernization, ensure semantic accuracy, and build a trusted foundation for scalable, high-performance Agentic AI deployment.
This blog series focuses on the use of AI-powered digital co-worker tools across industry sectors. This blog…
Through this blog series, we’ve explored the real-world applications of AI-powered digital co-worker tools. In this blog…
The enterprise mandate is clear: move from manual workflows to orchestrated autonomy. This shift demands massive…
In the latest addition to our series of AI-powered digital co-worker tools, we look at how an AI-enabled…
Onix introduces an AI-powered marketing insight agent that transforms slow research into real-time insights using synthetic personas and advanced analytics.
In the previous blogs of this series, we discussed the importance of synthetic data for continuous testing in modern development environments. Synthetic data generation tools are emerging as a vital “cog” in application development. That said, every synthetic data generator is not the same. Typically, rule-based synthetic data generators fail to scale exponentially as the… Continue reading Why synthetic data needs intelligence — and how Kingfisher enables continuous testing
75% of companies are accelerating their investment in Agentic AI, yet many are still stuck in the “chatbot”…
Modern-day application development demands a “shift-left” approach, which has moved software testing to the earlier phases of development.
As the year 2025 comes to a close, the AI domain that experienced a “hype” over the past 2-3 years is now entering a consolidation phase.
How about completing a complex, critical business process that costs around $70 and 4 days of development time, in under $1 and 15 minutes? This is no longer a theoretical possibility, but a tangible outcome. A major enterprise undertaking a complex, high-volume data migration project achieved this result. In just 2 weeks of production, this… Continue reading From AI tools to AI systems: architecting the autonomous enterprise
In a recent LinkedIn Live session hosted by Everest Group in collaboration with Onix, Niraj Kumar, CTO, Onix sat down with Jillian Walker, VP, Kasthuri Jagadeesan, Research Director and Himanshu Mhatre, Senior analyst at Everest Group to unpack a shift many enterprises are beginning to acknowledge quietly: AI is no longer confined to chatbots or… Continue reading From Automation to Autonomy: The Growing Impact of Agentic AI in Organizations
Business leaders across various industry domains discuss a common set of challenges or “pain points” when working with legacy tools and manual processes.
The year 2025 has been a “game-changer” for early adopters of the Agentic AI technology.
As a technology, Generative AI is promising and delivering a new wave of innovation, operational efficiency, and simply “a more productive way of working.” However, in reality, enterprises are finding it challenging to navigate the GenAI journey. More than the technology itself, it’s the “human” factor – or the critical role of change management. The… Continue reading Navigating your GenAI journey: why effective change management is your ultimate differentiator
The age of testing is over: AI has moved from pilot projects to powering the core of financial services. With the introduction of Agentic AI technology (or simply AI agents), 2025 is now officially the year when AI has transitioned to delivering “transformation” across the business domain. The impact of AI agents is probably the… Continue reading How BFSI companies can operationalize AI agents using synthetic data
In 2025, there are no signs of any slowdown in the pace of AI-led innovation. Enterprises continue to transform, innovate, and compete using AI technology. Early AI adopters are gaining more market share and innovating their customer engagement offerings. By deploying powerful AI agents, our Agentic AI platform, Wingspan, is designed to accelerate your “Data-to-AI”… Continue reading Accelerate into the future: why being AI-ready with Onix and Google Cloud is your next strategic move
According to IBM estimates, approximately 90% of organizational data is unstructured, with information stored in various formats, including email messages, PDF documents, and video files. Even as enterprises have successfully mastered structured data, unstructured data can potentially unlock the “next big opportunity” in the AI-led revolution. Whether using structured or unstructured data, enterprises need to… Continue reading Unlocking AI’s Next Big Opportunity: The Data Frontier
Since their inception, legacy data warehouses have primarily existed as on-premises systems within companies. Over the years, these warehouses have evolved from data storage systems into decision-support systems (DSS). Typically, enterprises had many DSS environments to serve selected users or business functions. As data continues to explode, modern data warehouses are required to support a… Continue reading Why Agentic AI and cloud platforms are the future of data warehousing
Onix’s recent webinar, “Revolutionizing Healthcare with Google Agentspace,” demonstrated the transformational impact of Generative AI (GenAI) technology in the healthcare space. The event featured the best of Onix’s healthcare domain experts, including: Here are some key takeaways from this Onix webinar on the impact of Google Agentspace in healthcare. GenAI in Healthcare – an industry… Continue reading How Google Agentspace is revolutionizing the future of healthcare
For energy and utility companies, solar energy is a viable alternative as a renewable energy source. However, this transition has its share of complexities, with concerns ranging from solar roof compatibility and potential energy output to return on investment (ROI). Onix’s AI-powered solar assistant can address and simplify this transition, along with its built-in convenience,… Continue reading Introducing the AI-powered Solar Assistant for energy companies
In the fast-moving AI domain, Agentic AI (or AI agents) represents the next frontier of innovation. Unlike traditional AI systems that depend on manual prompts and static rules, Agentic AI-powered systems can make autonomous decisions, quickly adapt to any contextual changes, and complete complex multi-step tasks. According to market analysts, the global market for Agentic… Continue reading How to “win” the Agentic AI race and how Onix can help
A leading entrepreneur claims: “All human-generated data for AI model training has been exhausted.” Recent research has indicated that human-generated data is likely to run out within the next two to eight years. Going by these claims, data is a core component of AI training requirements. That said, more technology companies are shifting away from real-world… Continue reading Powering AI model training with a synthetic data generator
In the life-sensitive healthcare domain, real-time access to patient information is paramount for any healthcare company. Traditional legacy systems present numerous challenges, including data silos and fragmented patient information, which can delay life-saving decisions and result in medical neglect. By leveraging the capabilities of Artificial Intelligence (AI) in healthcare, Onix has enabled healthcare companies to… Continue reading Advancing healthcare services with Onix’s AI-powered assistant
At Onix, we are driven by a singular vision: to be the most trusted cloud consulting partner to the world’s leading companies.
Just recently announced, Onix has acquired the professional services unit of UJET, a cloud-native Contact Center as a Service (CCaaS) provider. This strategic acquisition substantially strengthens Onix’s capabilities within the customer engagement landscape. Onix’s objective is clear: to deliver next-generation, AI-driven customer engagement solutions and to modernize enterprise contact centers. In this blog, we’ll discuss… Continue reading Onix doubles down on AI-powered customer engagement
As more enterprises – and users – embark on their AI-led transformational journey, it’s important to realize that this transition is not a one-step process, but multi-phased. To achieve AI excellence, organizations require a solid foundation in data knowledge and representation. With this mindset, they can chart a successful transition to AI enablement. As a… Continue reading The AI adoption roadmap – your journey from novice to super user
Modern enterprises are practically “drowning” in data. By the end of this year, the global data volume is expected to reach nearly 200 zettabytes. Be it customer information or sales figures, this sheer volume of data makes it extremely challenging to extract any actionable insights. Traditional data analytics solutions often fall short in terms of… Continue reading From data to decisions – Your how-to guide for GenAI analysis with Gemini & Agentspace
In a competitive industry, global manufacturers must continuously innovate to stay ahead and improve operational efficiency, while keeping their costs under control. However, this is far from the optimum case. The manufacturing industry faces a host of complex challenges that it must navigate to achieve efficiency and productivity. AI-powered agents are ushering in a gradual… Continue reading Revolutionizing manufacturing – How AI agents are driving efficiency and reducing downtime
Modern retail supply chains are complex and operate at a massive global scale. Each day, millions of retail products are packaged and transported across thousands of geographical locations all across the globe. This level of complexity presents challenges for retailers in critical areas like: Among the complex challenges, retailers can no longer manually forecast market… Continue reading Simplifying retail supply chain complexity using AI technology
For virtual try-ons or advertising purposes, Artificial Intelligence (AI) has an evolving role in generating “realistic” images in the retail industry. An AI-enabled image generator tool is set to transform the process of visual creation, particularly in the e-commerce domain. With its AI-powered reshoot platform, Onix is delivering advanced AI capabilities to luxury retailers across… Continue reading Exploring the next-gen AI try-on platform for retailers
On a global scale, the mortgage industry faces numerous challenges, including time-consuming manual data entry and mortgage processing, stringent industry regulations, flawed risk assessment, and ineffective fraud detection. To address these challenges, Onix has developed an AI-powered mortgage automation tool that can streamline operations and enhance efficiency. This tool, powered by AI technology, is designed… Continue reading How the mortgage industry can leverage an AI-powered assistant for enhanced efficiency
In today’s rapidly changing global market, businesses, particularly retailers, face significant challenges navigating fluctuating trade policies and tariffs. The pace of change in tariff rates…
In our recent webinar “No Data, No AI, How to Ensure You Get It Right,” Onix’s CMO, Jessica Wesley, and Dr. Phil Shelley…
Is synthetic data here to stay in the technology domain – or is it just another fad? In 2021, Gartner predicted that…
Even as enterprises rush to adopt AI, the journey from data to AI isn’t always smooth. Fragmented data…
Designed for the benefit of healthcare providers, Onix’s automated medical record analysis solution…
Traditional marketing analytics often fall short in addressing the complexities of today’s retail landscape.
AI-enabled personalization is transforming the customer experience (CX) across many industry domains…
Customer churn is of paramount concern in the growing telecom industry. For major telecom service providers…
92% of companies plan to increase their AI investments over the next 3 years. However, only 1% of AI adopters believe…
Google Agentspace is set to raise workforce productivity to the next level. That said, without a proper change…
With its range of AI-powered agents, Google Agentspace enables employees across different roles to search for…
If 2023 was the year when the business world discovered the power of GenAI, 2024 was the year when organizations…
As data continues to thrive, it’s becoming more challenging for modern users to search for relevant information…
From AI breakthroughs to data-driven transformations, the future is brimming with opportunities – and challenges. As we look to the year ahead, we understand that technologies like AI have very conveniently become a part of our daily lives. We have started adopting AI (specifically generative AI) as our assistant, who helps us with quick email… Continue reading Unlocking technology trends for 2025 and beyond
Projected to reach a value of $11 billion by 2025, the global market for data migration is set to…
93% of enterprises found effective access control to be an essential component of their security strategy. Besides that, over 70% of organizations that have adopted modernized access control systems reported fewer than 5 security-related incidents in a year. However, enterprises continue to rely on manual access control to manage user credentials or permissions. Manual (or… Continue reading Automating access control using Google AI technology
As Google’s AI-powered virtual assistant, Gemini is now integrated across the Google Workspace suite…
The healthcare industry is undergoing a period of unprecedented change, driven by advancements in technology and a growing demand for more efficient, personalized care.
A recent survey conducted by Google Cloud and National Research Group found that 63% of financial services companies have moved their GenAI use cases into production and are witnessing a positive ROI. Traditionally, the financial services domain has been rich in data – but poor with data-driven insights. With the adoption of GenAI, this is… Continue reading How leading financial institutions harness GenAI with Onix
74% of enterprises using Generative AI are already generating a healthy ROI, while 86% have seen their revenues grow by around 6%. These are key findings from a Google Cloud survey conducted between February and April 2024. What’s even more insightful is that most business leaders and C-level executives do not view Generative AI as… Continue reading Maximizing the ROI of Generative AI
The core advantage of data is that it tells you something about the world that you didn’t know before…
As more data is generated daily, organizations are valuing the importance of data quality. This is driving organizations to invest more time and money into data validation.
Large language models (LLMs) have emerged as a powerful medium to understand (and even generate) human-like language.
AI and machine learning are transforming data/model governance, optimizing accuracy, compliance, and efficiency for advanced data management solutions.
Leveraging the Power of Automated Data Validation
Healthcare expenses continue to increase in the U.S. and major economies. In 2023, healthcare inflation is forcing more Americans to postpone their medical treatments. This is not a recent development. Since 2000, medical costs have increased by 4.85% each year. The outlook for 2024 does not look any different. Health insurance premiums are expected to… Continue reading How AI technology is poised to make healthcare more affordable
There is no doubt that data validation is an important part of any cloud migration process. Without data validation, a migration project cannot be termed as successful. As more organizations migrate their data to the cloud, there is a growing need for them to validate their data in the post-migration phase. This enables them to… Continue reading Automating data validation with Pelican’s Zero Factor features
In their pursuit of benefiting from the cloud, organizations spend a lot of time and investment in migrating data from legacy systems to modern data warehouses. Here are some of the pressing questions IT leaders need to address during their cloud migration process: When it comes to migrating data to the target warehouse, organizations need… Continue reading Datametica Pelican – a smarter way to validate your data
Gartner recently announced its list of 10 leading technology trends to expect in 2024. Chris Howard of Gartner…
As the name suggests, contact center AI (CCAI) is the application of AI technology in customer contact centers. According to Gartner, the deployment of Conversational AI in contact centers can lower human labor costs by $80 billion by 2026. At the same time, 60% of customer servicing executives say AI has saved them time. What… Continue reading How Contact Center AI can transform customer service
Artificial intelligence (AI) is propelling data analytics to new heights and enabling unprecedented opportunities to extract value from data. One of the most exciting areas is natural language processing (NLP). Previously, analyzing unstructured text data was a challenge, but AI algorithms like Google’s BARD and Open AI’s GPT-4 demonstrate human-level language understanding, allowing us to… Continue reading How AI is revolutionizing data analytics: latest breakthroughs
Generative AI, with its remarkable capabilities, has gained significant traction in the business world. This transformative technology is driving innovation and offering unique solutions across various sectors. In this blog, we will delve into the practical use cases of generative AI in business today, showcasing its potential to revolutionize operations and deliver impressive results. 1.… Continue reading Practical use cases of Generative AI for business today
Like so many knowledge workers, we’ve spent hours learning about and playing with the newest generative technologies from Google and OpenAI. We’re invested in these technologies and their capabilities, not only for their impact on our day-to-day work (and that impact is going to be enormous!), but also for the power they have to transform… Continue reading An early perspective on how enterprises can start thinking about Generative AI use cases
Abstract: AI-powered medical imaging is revolutionizing the field of healthcare by helping doctors…
Google’s Document AI provides a comprehensive solution for document processing that uses machine…
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies. Privacy Policy
