InfRE360 is designed to empower strategic decision-making and investment planning among sponsors, investors, regulators, and other stakeholders in India’s REIT and InvIT ecosystem. Coverage encompasses road, power, telecommunication, warehouse & logistics for InvITs and REITs. The platform offers comprehensive insights backed by powerful analytical tools and real-time intelligence.

“With the rapid evolution of India’s infrastructure and real estate trust markets, there is an urgent need for a robust and reliable analytics backbone. InfRE360 bridges this gap by delivering actionable insights, transparency, and efficiency in a single, user-friendly platform,” said Madhubani Sengupta, Head- Knowledge Services, ICRA Analytics.

Key Features of InfRE360

• Extensive Data Coverage: Access up-to-date annual and quarterly financials from FY2022, covering 150+ performance parameters for REITs, InvITs at the Trust level, and their 300+ SPVs  
• Performance Assessment: Explore sector, entity, and asset-level performance through interactive visuals. Evaluate key financial ratios across diverse metrics for deep operational insights.
• Key News Tracking: Stay ahead of market developments with near real-time alerts on the REITs and InvITs landscape
• Peer Level Analysis: Compare multiple peers within specific sectors to identify leaders, benchmark performance, and uncover strategic opportunities.
• Detailed Insights: Granular SPV-level information and access to comprehensive data on shareholding patterns, debt instruments, and credit ratings.
• Valuation Simulator: Run scenario modelling and sensitivity analysis to assess potential changes in valuation based on varying market conditions

Tailored Benefits for Key Stakeholders

• Sponsors & Owners
  • Strategic insights from comprehensive data sets
  • Peer benchmarking for competitive advantage
  • Time-saving automated data collection
• Investors
  • Informed investment decisions via detailed analytics
  • SPV-level risk identification and mitigation
  • Scenario-based valuation clarity
• Regulators
  • Real-time compliance tracking and market risk monitoring
  • Data-driven policy formulation and gap analysis
  • Enhanced transparency and accountability

With InfRE360, ICRA Analytics continues to redefine how India’s capital markets leverage data and technology to drive efficiency, governance, and informed growth.

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BENGALURU: Qlik^®, a global leader in data integration, data quality, analytics, and artificial intelligence, today announced an expanded set of capabilities coming soon in its Qlik Cloud Analytics solution — equipping enterprises with tools to detect anomalies, forecast complex trends, prepare data faster, and take immediate action through embedded decision workflows.

While organizations continue to invest heavily in AI and data, most still struggle to turn insight into impact. Dashboards pile up, but real-time execution remains elusive. Only 26% of enterprises have deployed AI at scale, and fewer still have embedded it into operational workflows. The problem isn’t access to static intelligence — it’s the ability to act on it. Dashboards aren’t decision engines, and predictive models alone won’t prevent risk or drive outcomes. What businesses need is intelligence that anticipates, explains, and enables action, without added tools, delays, or friction.

“Enterprises struggle making intelligence accessible and actionable for their business users,” said Brendan Grady, Executive Vice President and General Manager of Qlik’s Analytics Business Unit. “Too many systems deliver insights and answers after the fact. We’re building something different: a platform where AI detects what matters, surfaces it in context, and lets you act — all within the analytics environment itself.”

With these planned launches, Qlik will be introducing a new layer of intelligence across its platform — one that doesn’t just report what’s happening, but anticipates what’s next and enables action in the moment. Discovery agent, multivariate time series forecasting, write table, and table recipe work in concert to solve a singular problem: how to move from fragmented insight to seamless execution, at scale.

These launches, along with the renaming of Qlik AutoML to Qlik Predict^TM and Qlik Application Automation to Qlik Automate^TM, reflect a broader shift toward more intuitive, outcome-driven experiences across the Qlik platform. Each capability targets a critical enterprise bottleneck — from delayed awareness to inaccurate forecasting, data prep bottlenecks to disconnected workflows — delivering a cohesive solution that closes the gap between data and decisions.

• See what others miss before it’s too late — with the discovery agent. Executives no longer need to manually track business changes or sift through data. Discovery agent continuously scans performance across applications and datasets, automatically surfacing critical risks and opportunities before they intensify. Insights are delivered through a personalized feed that clarifies what’s happening, why it matters, and suggested next steps.
• Forecast reality, not just trends — with multivariate time series forecasting. Built into Qlik Predict (formerly AutoML), this capability moves beyond single-variable projections to model the full complexity of business conditions. By analyzing relationships across interdependent variables — like pricing, campaign activity, seasonality, and economic signals — it delivers sharper forecasts that reflect real-world dynamics. The result: more confident planning, faster scenario testing, and better decisions.
• Annotate and update data live — with a write table. Write table enables users to add context to data records directly in analytics tables, with instant sync across sessions and no reloads required. This capability enhances in-context data review and lays the groundwork for governed writeback into systems like SAP, Salesforce, and Snowflake — part of Qlik’s long-term vision for integrated, action-ready analytics.
• Prep data faster with no code — using a table recipe. Table recipe provides a streamlined, spreadsheet-like experience for preparing single-table datasets — no scripting or complex modeling required. Users can clean, convert, and format data with over 60 visual functions, seeing changes in real time. It empowers non-technical users to prep high-quality data quickly, accelerating the path to reliable insights.

“We’ve spent too much time reacting to what already happened — and not enough time getting ahead of what’s next,” said Olga Garagonich, Lead Manager, Data Visualisation, BT Group. “With these new capabilities in Qlik, we’ll be able to catch issues earlier, forecast more accurately, and take action — all without disconnected workflows or delays. That’s a game-changer for how we operate.”

Together, these capabilities transform Qlik from a system of insight into a system of execution — building the foundation for what comes next in enterprise AI: decision-making that’s not just intelligent, but contextual, automated, and embedded at the point of need.

Discovery agent, multivariate time series forecasting, write table, and table recipe will be available for private preview for select customers this year. General availability will begin rolling out in phases starting in summer 2025.

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ORLANDO, FL: Qlik^®, a global leader in data integration, data quality, analytics, and artificial intelligence, today introduced its new agentic experience at Qlik Connect^® 2025. The agentic experience will provide a single, conversational interface allowing users across the enterprise to interact naturally with data, using specialized AI agents to quickly uncover insights, drive faster decisions, and boost productivity, bringing new simplicity to complex data-driven workflows.

Qlik has consistently pushed forward the possibilities of data exploration, visualization, and analytics. At the heart of this continuous innovation is the Qlik engine—a unique technology that indexes relationships across data, enabling the discovery of unexpected connections. The agentic experience builds directly on this engine, expanding the ability of both users and agents to intuitively access these relationships, surface insights, and take action across diverse data.

The agentic experience will enable users to access insights and take action simply by engaging in natural language dialogue. Operating seamlessly across Qlik Cloud—including data integration, data quality, and analytics solutions—the experience removes friction, providing fast, intuitive visibility for smarter decisions and higher productivity.

At Qlik Connect, the company demonstrated how specialized AI agents will support users within this new experience:

• Introduced last year for unstructured data, Qlik Answers will bring together structured and unstructured data in a single natural language experience, delivering trusted answers and enabling automated actions.
• Revealed for the first time at the event, a discovery agent will proactively identify critical risks and opportunities across applications and datasets, presenting insights and recommended actions through a personalized feed.
• Demonstrated as a concept, a pipeline agent will allow users to describe desired business outcomes conversationally, prompting automated recommendations and the design of necessary data pipelines.

As enterprises face unpredictable market conditions and increasing pressure to make critical decisions rapidly, investments in AI have grown. With its agentic experience, Qlik is focused on helping customers turn data into timely, high-quality decisions and results. Qlik’s agentic experience is specifically designed to empower teams to accelerate both decisions and productivity in rapidly changing environments.

“This new agentic experience is about removing the distance between data, decisions, and outcomes,” said Mike Capone, CEO of Qlik. “People want a seamless, conversational way to engage with their data—one that fits naturally into their work and delivers clear, trusted answers in context. We’ve built this experience to reflect how business decisions are made.”

“There’s a growing demand for AI that does more than generate responses—enterprises want systems that can reason across complex data, explain their outputs, and drive action,” said Megha Kumar, Research Vice President, Worldwide Analytics & AI, IDC. “Qlik Answers combines structured and unstructured data with automation in a governed, explainable framework. It’s a strong example of how agentic AI can support real enterprise decision-making.”

“We’re under constant pressure to make faster, better decisions with data that’s scattered across the business,” said Yuzuru Fukuda, Corporate Executive Officer – Senior EVP, Enterprise Division CEO, Fujitsu. “The ability to ask a question and get a trusted, contextual answer—across structured reports, unstructured content, and automated workflows—is exactly the kind of capability we’ve been waiting for. It has the potential to remove a lot of friction from how decisions get made.”

The Qlik agentic experience is scheduled to begin rolling out this summer, starting with private previews. Through live demos and executive briefings, teams attending Qlik Connect can experience the agentic capabilities firsthand.

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The role of data analytics in healthcare is revolutionizing how patient care is delivered and how healthcare organizations operate. By harnessing the power of data, providers can improve patient outcomes, reduce costs, and create a more efficient healthcare system. From personalized treatments to predictive models and business opportunities in analytics tools, the future of healthcare is undeniably data-driven. For those in the healthcare space, embracing analytics not only improves patient care but also opens doors to new avenues of growth and innovation.

In the rapidly evolving landscape of healthcare, the integration of data analytics is becoming indispensable. As the industry grapples with increasing patient demands, escalating costs, and regulatory complexities, the transformative power of data analytics offers a promising solution. By leveraging advanced analytics techniques, healthcare providers can enhance patient care, streamline operations, and reduce inefficiencies.

At its core, data analytics in healthcare refers to the use of quantitative and qualitative data to extract actionable insights. These insights can range from improving patient outcomes to optimizing administrative workflows. With healthcare systems increasingly digitized, data from a myriad of sources—patient records, wearable devices, diagnostic tools, and hospital management systems—can now be analyzed to uncover patterns, predict trends, and inform decision-making.

 Benefits of Data Analytics in Healthcare:

• Improved Patient Outcomes: Data analytics enables healthcare professionals to make evidence-based decisions, resulting in more accurate diagnoses, personalized treatments, and proactive patient care. Predictive analytics can identify patients at risk for chronic conditions, enabling earlier intervention.
• Enhanced Operational Efficiency: With the massive influx of patient data, healthcare institutions are utilizing data analytics to streamline their operations. By analyzing patient flow, resource utilization, and staff performance, hospitals can optimize scheduling, reduce waiting times, and improve bed management.
• Cost Reduction: Data-driven insights can significantly cut down operational inefficiencies, reducing unnecessary testing and treatments, and improving overall cost management. By identifying patterns in resource consumption, analytics helps hospitals avoid wasteful practices and make cost-effective decisions.
• Personalized Patient Care: Through data mining and machine learning, healthcare providers can analyze individual patient histories and genetic profiles to deliver more personalized care plans. This precision medicine approach ensures that treatments are tailored to the specific needs of each patient, increasing the likelihood of successful outcomes.

1. Predictive Healthcare: One of the most exciting applications of data analytics in healthcare is predictive modelling, which anticipates patient needs before they arise. This proactive approach helps in preventing diseases, reducing readmission rates, and improving the overall quality of life for patients.

Example: The use of predictive analytics in chronic disease management, such as for diabetes, allows doctors to anticipate complications and intervene earlier, which has been shown to reduce hospital readmission rates by up to 30%.

Tools and Techniques in Healthcare Data Analytics:

• Electronic Health Records (EHRs): EHR systems store comprehensive patient data, which can then be analyzed to track patient health trends, identify early signs of disease, and improve coordination among healthcare providers. Tools like Epic Systems and Cerner are widely used to consolidate patient data for easier analysis.
• Big Data Analytics Platforms: Healthcare organizations use platforms like Hadoop and Apache Spark to manage vast amounts of unstructured data, which can be mined for valuable insights. These platforms help analyze patient records, medical imaging, and even genomic data at scale.
• Predictive Analytics Tools: Tools like SAS Analytics, IBM SPSS, and Tableau empower healthcare professionals to create predictive models and visualize data, making it easier to identify trends, predict patient outcomes, and optimize resources.
• Natural Language Processing (NLP): NLP tools, such as Google Cloud Natural Language API or Clarifai, analyze and interpret the vast amounts of unstructured text data in medical records. This enables healthcare providers to extract useful information from clinical notes, improving the decision-making process.
• Wearable Devices and IoT: Wearables, such as Fitbit, Apple Watch, and Garmin, along with IoT (Internet of Things) devices in hospitals, continuously collect patient data like heart rate, blood pressure, and glucose levels. This data is integrated into analytics platforms to provide real-time insights into patient health.

Implementation of Data Analytics in Healthcare:

1. Focus on Data Quality: Ensure that the data being used for analysis is accurate, complete, and up-to-date. Poor data quality can lead to misleading results and ineffective interventions. Implementing robust data validation processes is essential.
2. Interdisciplinary Collaboration: The integration of data analytics into healthcare requires close collaboration between data scientists, healthcare providers, and IT teams. Establishing cross-functional teams ensures that the insights generated are actionable and aligned with clinical goals.
3. Prioritize Patient Privacy: With the vast amounts of sensitive data involved, maintaining patient privacy and adhering to healthcare regulations like HIPAA is paramount. Use encryption, access controls, and secure data-sharing protocols to protect patient confidentiality.
4. Iterative Approach: Start small with pilot projects that address specific issues, such as improving ER efficiency or predicting readmission risks. Once initial results are promising, scale the analytics initiatives across the organization for broader impact.

Business Opportunities in Healthcare Analytics:

• Healthcare Analytics Software Companies: As demand for healthcare data solutions rises, there is a growing business opportunity in developing and selling analytics software tailored to the healthcare industry. Companies can provide platforms for data management, visualization, and predictive modeling.
• Data Consulting Firms: Healthcare organizations often lack in-house expertise in data analytics. Consultants can capitalize on this by offering services to help healthcare providers implement data-driven solutions, such as improving patient care or reducing costs.
• Personalized Healthcare Services: Entrepreneurs can tap into the growing market for personalized medicine by using data analytics to offer customized health plans, predictive insights, and even targeted treatments based on a patient’s genetic makeup.
• Predictive Maintenance for Medical Equipment: Predictive analytics isn’t just for patient care—it can also be applied to hospital infrastructure. By analyzing equipment performance data, hospitals can predict when devices are likely to fail, enabling timely maintenance and reducing downtime.
• Health Data Security Solutions: As healthcare organizations increasingly rely on data analytics, the need for robust data security solutions will continue to grow. Businesses offering cybersecurity solutions for healthcare data can capitalize on this trend.

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LAS VEGAS, NV: Qlik^®, a global leader in data integration, analytics, and artificial intelligence (AI), today announced strong momentum in supporting cloud migration for enterprises, allowing them to leverage AI technologies more effectively. By removing barriers to cloud adoption, Qlik is helping organizations leverage Amazon Web Service (AWS) cloud computing technology to unlock greater value from their data assets and achieve better analytics outcomes.

For businesses seeking to adopt AI, a successful strategy often starts with cloud migration. Moving to the cloud provides access to a stronger technology ecosystem, including emerging AI solutions that enhance analytics outcomes. Recognizing this, Qlik has focused on simplifying the cloud journey, offering solutions that streamline the transition and support seamless cloud-based operations.

Recent features, such as the launch of PixelPerfect reporting and anonymous access in the cloud, demonstrate Qlik’s commitment to bridging the gap between on-premises and cloud functionality, making it easier for enterprises to adopt AI-ready environments.

“AI isn’t just about implementing specific AI technologies; it’s about having the right environment to support them,” said Brendan Grady, Executive Vice President and General Manager of Qlik’s Analytics Business Unit. “Our focus has been on clearing the path for our customers to move to the cloud, which means providing solutions that remove traditional barriers. By continuing to enable new critical features in our cloud analytics offerings, we’re ensuring that our customers can seamlessly transition to the cloud and, in doing so, position themselves to leverage the best of AI.”

One example of Qlik’s ongoing innovation in AI is Qlik Answers, its unstructured data AI solution, launched at Qlik Connect in June 2024. Qlik Answers has garnered significant interest among customers across a wide range of industries, including logistics, financial services, retail, healthcare, manufacturing, and education. Organizations across these sectors are exploring how Qlik Answers can help them unlock valuable insights from their unstructured data, highlighting the growing demand for innovative AI and analytics solutions.

Recent Qlik Innovations Supporting Cloud and AI Adoption:

• Qlik Answers: Launched in June, this AI-driven solution addresses unstructured data challenges, enabling organizations to extract valuable insights from organizations vast troves of unstructured data.
• Qlik AutoML: This year, Qlik’s predictive analytics platform has seen a 40% increase in usage and introduced enhancements such as intelligent optimization and embedded analytics.
• PixelPerfect reporting in the cloud: High-quality, precise reporting that was previously only available on-premises is now fully available in Qlik Cloud Analytics.
• Anonymous Access: Provides secure, accessible data analytics in the cloud, making it easier for businesses to share public data to anonymous users without compromising security.

Qlik’s continued investment in removing barriers to cloud adoption aligns with its broader mission to provide end-to-end data integration and analytics solutions that empower enterprises to thrive in a data-driven world. By facilitating seamless cloud transitions, Qlik ensures that companies can position themselves to leverage cutting-edge AI technologies, driving innovation, agility, and smarter decision-making. To learn more, please connect with the Qlik team at AWS re: Invent December 2-6, 2024 in Las Vegas.

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NumPy (short for Numerical Python) is a powerful open-source Python library that’s essential for scientific computing, data analysis, and machine learning. It’s the backbone of many data workflows and is widely used in industries ranging from finance to healthcare to aerospace.

NumPy Special

• N-Dimensional Arrays (ndarray) NumPy introduces a fast, memory-efficient array object that supports multi-dimensional data structures.
• Vectorized Operations Perform element-wise operations without writing loops—making your code cleaner and dramatically faster.
• Broadcasting applies operations across arrays of different shapes automatically. For example, adding a scalar to a matrix.
• Linear Algebra & Statistics Built-in functions for matrix multiplication, eigenvalues, mean, standard deviation, and more.
• Integration with Other Libraries NumPy works seamlessly with Pandas, SciPy, scikit-learn, TensorFlow, and many others.

Real-World Applications

• Finance: Portfolio optimization, risk modelling, and time-series analysis.
• Healthcare: Processing medical images and sensor data.
• Astronomy: Used in projects like the Event Horizon Telescope to process massive datasets.
• Machine Learning: Feeding data into models, pre-processing, and feature engineering.

Performance Tips: Why NumPy Wins

Traditional Python loops are slow for large datasets. NumPy uses vectorized operations under the hood, which are implemented in C. That means:

• Faster execution
• Less memory overhead
• Cleaner, more readable code

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MUMBAI: Qlik^®, a global leader in data integration, analytics, and artificial intelligence (AI), announced its new cloud region in India today. Located in Mumbai, this strategic investment enhances Qlik’s global cloud infrastructure. It deepens its long-term commitment to the Indian market, meeting the growing demand for local data storage, regulatory compliance, and advanced AI capabilities.

The new cloud region empowers Indian customers to utilize Qlik’s AI-powered, enterprise data and analytics solutions while ensuring compliance with local data sovereignty requirements. By storing and working with data within India, Qlik’s customers can deliver better business outcomes while adhering to stringent data residency requirements. This expansion will enable businesses across various sectors, including finance, banking, automotive, public sector, and healthcare, to leverage advanced analytics and AI capabilities for improved decision-making.

“As one of India’s largest public sector enterprises, IndianOil is committed to utilizing data intelligence for operational efficiency and sustainability across our energy grid. Qlik’s first cloud region in India will surely empower businesses to access data faster. Such cloud offerings will provide the scalability and security needed to manage extensive datasets, supporting large organizations to make informed, data-driven decisions,” said Suresh Nambiar, Executive Director of Information Systems), Indian Oil Corporation Limited.

“The launch of our cloud region in India is a strategic move that directly addresses the unique needs of our customers in this vital market. As businesses in India navigate an increasingly complex regulatory landscape, our new cloud capabilities ensure they can harness the full potential of AI with confidence in their data sovereignty and compliance. This investment underscores Qlik’s commitment to delivering tangible AI outcomes globally, enabling Indian enterprises to transform their data into a competitive edge responsibly and effectively,” said Mike Capone, CEO of Qlik.

“This marks a pivotal moment for Qlik and our customers in India,” said Varun Babbar, Managing Director – India & SAARC, Qlik. “As the regulatory landscape evolves, businesses increasingly demand advanced, AI-driven cloud solutions that ensure compliance with local data localization requirements. By establishing our cloud infrastructure, we are committed to helping organizations optimize data management, enhance data security, and reduce the complexities and costs associated with cross-border data transfers. Our local cloud services empower businesses to propel innovation, improve operational efficiency, and contribute to India’s digital economy.”

The cloud region will deliver:

• Data residency compliance: Customer data will be stored and processed within India, aligning with local privacy laws. This approach will not only mitigate geopolitical risks but also cater to India’s unique regulatory landscape.
• Low latency and enhanced performance: By keeping data closer to end-users, Qlik reduces latency, enabling faster access to services and more stable operations, resulting in improved user experience.
• AI-powered cloud capabilities: Customers can benefit from Qlik’s advanced AI features, like Qlik AutoML and Qlik Answers, for rapid data analysis and automated workflows. These tools help organizations extract actionable insights from unstructured data, fostering innovation and informed decision-making.
• Local support and services: Access to responsive, localized customer support, ensuring tailored solutions that meet specific business needs.
• Scalability and innovation: Support Qlik’s growing customer base to double our market share in India by 2026, fostering both scalability and innovation within the local business ecosystem.

In addition to enhancing customer experiences, the new cloud region will create new job opportunities in India, which is currently Qlik’s second-largest employee base in the Asia Pacific region. This expansion will involve hiring across sales, presales, consulting, and professional services, with a strong emphasis on AI and data governance expertise. Qlik is dedicated to investing in local talent and resources, positioning India as a key hub for research and development (R&D), customer support, and marketing initiatives.

For more information about Qlik’s India cloud region launch and other updates, please visit Qlik’s website.

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SINGAPORE: NTT DATA, a global leader in digital business and IT services, today announced the expansion of its strategic partnership with Google Cloud to accelerate the adoption of cloud-based data analytics and generative AI solutions for customers across key markets in Asia Pacific.

By combining NTT DATA’s technology industry expertise and client base of large enterprises with Google Cloud’s best-in-class data analytics, AI, and cloud capabilities, the partnership will empower enterprises to spearhead innovation, enhance operational efficiency and agility, and propel their business. With co-innovation at the core of this partnership, NTT DATA and Google Cloud aim to develop cloud-based data and AI solutions tailored to industry-specific needs. By using NTT DATA’s existing industry blueprints, best practices, and cloud solutions on Google Cloud, the partnership will deliver customized solutions and implementation expertise to businesses in healthcare, life sciences, financial services, insurance, manufacturing, retail, and the public sector.

The extended partnership also introduces a dedicated NTT DATA Google Cloud Business Unit, to develop joint solutions focused on data analytics and GenAI and augmented support for applications and modern infrastructure, cybersecurity, and SAP on the Google Cloud Platform (GCP). For effective implementation of the solutions, this partnership will boost NTT DATA’sin-houseexpertise in Google Cloud technologies with advanced training and certification programs. NTT DATA will hire and upskill sales, pre-sales, and delivery professionals on Google Cloud, equipping them to effectively sell, build, secure, migrate, and deliver joint solutions to benefit customers. NTT DATA currently has 2,600 Google-certified engineers in 50 countries and plans to certify at least 1,000 more in the APAC region.

According to Gartner, Inc., worldwide end-user spending on public cloud services in 2024 is forecast to total $679 billion and is projected to exceed $1 trillion in 2027. GenAI deployments across organizations will further fuel the growing demand for modern cloud infrastructure, highlighting the importance of this strategic partnership launched in APAC, with plans for global expansion.

John Lombard, Chief Executive Officer, NTT DATA, APAC, added, “This expanded partnership brings together NTT DATA’s expertise in digital transformation and deep-rooted understanding of APAC’s diverse markets with Google Cloud’s unparalleled AI and cloud innovations. This isn’t just about adopting new technologies; it’s about reimagining what’s possible for businesses in the AI age. Our partner ecosystem is a cornerstone of our growth strategy, and this collaboration with Google Cloud is expected to grow our cloud business in APAC by 10x+ in 3 years.”

Karan Bajwa, Vice President, of Google Cloud, APAC, commented, “Customer confidence is paramount to deliver on their digital transformation aspirations, and NTT DATA’s comprehensive portfolio, coupled with a deep understanding of evolving customer needs across Asia Pacific, perfectly complements Google Cloud’s AI leadership and innovative solutions. Together, we’re not just providing technology, we’re building trust and delivering exceptional outcomes for customers as they accelerate their digital transformation journeys.“

Charlie Li, Senior Executive Vice President, Global Head of Cloud and Security Services, at NTT DATA, Inc. said, “Our expanded partnership with Google Cloud is a significant step forward in delivering innovative solutions that address the industry-specific challenges our customers are facing. By combining NTT DATA’s unique full-stack transformation portfolio with Google Cloud’s next-generation technologies, we are poised to accelerate our client’s digital modernization priorities, particularly in areas like cloud, GenAI, and cybersecurity.”

As generative AI relies heavily on high-quality data for training and insights, robust data analytics capabilities are essential for successful deployments. With NTT DATA’s technologies and Google’s data analytics, NTT DATA enabled a major retailer to grow 22% in digital inquiries and increase occupancy by 85% through the efficient use of extracted API data.

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The partnership, driven by NAM’s Chief Technology Officer, Balaji Krishnamoorthy, is a testament to NAM’s commitment to expanding the scope of AI, machine learning (ML), advanced analytics, and data management solutions. Inferyx’s “intuitively adaptive platform” is designed to help organizations transform their data ecosystems, paving the way for new growth opportunities.

Vinay Mahajan, President & CEO of NAM Info Inc., emphasized the significance of this collaboration, stating, “Our investment in Inferyx is a critical step in enhancing data-driven decision-making through innovation and delivering exceptional outcomes.” This partnership represents a strategic move by NAM to bolster its capabilities in delivering cutting-edge data solutions that drive business success.

As the head of this multi-national company, Vinay Mahajan has led the development team to approve two patents for SAFE, a fire safety APP for high rise buildings. Current projects under development are AI application APAR and browser-based universal communication. He recently acquired a company in Telecom Services space.

Balaji Krishnamoorthy echoed this sentiment, noting, “Inferyx’s technology aligns perfectly with our vision of helping businesses unlock the infinite possibilities of data.” With Inferyx’s platform, NAM is poised to explore new market opportunities, expand its product offerings, and create a scalable ecosystem for data management and analytics.

Yogesh Palrecha, the Founder of Inferyx, expressed enthusiasm for the partnership, stating, “We are excited to partner with NAM, a company known for delivering impactful results. This collaboration will accelerate our growth and focus on enabling the full potential of the data and analytics universe.” The partnership is expected to accelerate Inferyx’s growth and enhance its ability to deliver powerful data management and analytics solutions.

The partnership between NAM and Inferyx represents a significant milestone for both companies as they work together to redefine the future of data management and analytics. This collaboration is expected to drive innovation and growth, helping businesses unlock the full potential of their data and navigate the complexities of the modern data landscape.

By integrating Inferyx’s advanced platform with NAM’s extensive experience in IT solutions, the partnership aims to create a powerful synergy that will deliver superior data management and analytics solutions to a wide range of industries. The collaboration will focus on developing new products and services that address the evolving needs of businesses in an increasingly data-driven world.

In addition to expanding its product offerings, NAM plans to leverage the partnership with Inferyx to explore new market opportunities and build a scalable ecosystem for data management and analytics. This ecosystem will provide businesses with the tools and technologies they need to harness the power of data, improve operational efficiency, and drive innovation.

As data continues to play a crucial role in business decision-making, the partnership between NAM and Inferyx is expected to have a significant impact on the industry. By combining their strengths, the two companies are well-positioned to lead the way in data management and analytics, helping businesses unlock new opportunities and achieve their strategic goals.

Overall, the partnership between NAM Info Inc. and Inferyx is a forward-looking collaboration that aims to shape the future of data management and analytics. With a shared vision of innovation and excellence, the two companies are set to deliver exceptional value to their clients and partners, driving growth and success in the rapidly evolving data landscape.

Inferyx, a trailblazer in the field of data management and analytics, offers a platform that helps organizations manage, integrate, and analyze their data more effectively. The platform includes tools for data management, a business rule engine, and advanced analytics capabilities. By leveraging Inferyx’s technology, businesses can enhance their operational efficiency, drive innovation, and make more informed, data-driven decisions.

NAM Info Inc. has established itself as a leading provider of business solutions across various domains and technological frameworks. Founded in 2000 and headquartered in Cranbury, New Jersey, NAM has expanded its global presence with offices in Bangalore and Chennai, India, as well as in Mississauga, Canada. In 2007, NAM launched its offshore services in Bangalore, underscoring its commitment to global growth and operational excellence. The company continues to broaden its geographical footprint, aiming to deliver exceptional business solutions worldwide.

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MUMBAI: In June, domestic G-sec yields are likely to be influenced by a range of factors, such as foreign portfolio investor (FPI) flows, crude oil price movements, the rupee-dollar equation, outcome of the US Federal Open Market Committee, (FOMC) domestic inflows into the debt market, and announcement of G-sec auctions, amongst others.

Three-month view

The 10-year G-sec yield is expected to react to FPI flows, crude prices, global interest rates, the CPI inflation print, rate decisions by the RBI MPC and FOMC, global cues, and liquidity concerns.

Framework for the outlook

CRISIL provides its outlook on key benchmark rates for different debt classes — 10-year G-secs, state development loans (SDLs), and corporate bonds (CBs) — based on statistical models and inputs from our in-house experts. We also incorporate our views on policy expectations, the macroeconomic outlook, key events (local and global), and market factors (liquidity and demand/supply).

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