Mumbai: As the heat intensifies, a significant surge in online searches for cooling solutions indicates a growing public demand for relief. Analysis from Justdial, India’s No.1 local search engine, comparing search activity between March and April of 2024 and the same period in 2025, reveals some striking increases nationwide.

Mumbai is experiencing a substantial spike in interest, with a remarkable 58% increase in overall searches for AC and water cooler services within the metro cities. This demand is even more pronounced in specific categories within Mumbai, with searches for HVAC contractors soaring by 320% and AC wholesalers seeing a massive 301% jump.

Delhi also shows a strong upward trend, with a 117% increase in searches for HVAC contractors and a notable 245% rise in searches for window AC dealers. Furthermore, Delhi leads the way in the portable AC category, witnessing an impressive 445% surge in related searches.

Several non-metro cities are also showing significant increases in demand for cooling solutions. Agra leads with an extraordinary 184% rise in searches, followed by Goa at 69%, and Chandigarh and Vadodara both experiencing a substantial 58% and 54% increase, respectively. Indore also registers a notable 43% growth in searches.

Looking at specific service categories nationwide, beyond the aforementioned HVAC contractors and AC wholesalers, window AC dealers are seeing a healthy 53% increase in searches. The demand for portable AC dealers has also risen by 43%.

While the most dramatic increases are seen in specific regions and categories, there is also a general upward trend across the country. Pan-India searches for AC and water cooler services have increased by 1%, and metro cities overall show a 2% rise. Non-metro cities also reflect this growing need with a 1% increase in related searches. In the water cooler segment, manufacturers are seeing a 15% increase in search interest, and dealers are experiencing a 14% rise.

Interest in AC dealers also reflects a growing demand for cooling solutions across various cities. Overall, searches for AC dealers have increased by 12%, with significant growth observed in Lucknow (103%), Mumbai (99%), Delhi (63%), Chennai (72%), and Bangalore (22%). These figures collectively highlight a widespread and growing need for cooling solutions as the summer season approaches and progresses. As temperatures continue to rise, these search trends highlight the proactive steps consumers are taking to ensure comfort during the warmer months ahead.

May 14th, 2025 – Celonis, a global leader in Process Mining, today at its Celonis:Next event, demonstrated how its Process Intelligence (PI) platform enables companies to maximize the ROI from their enterprise AI deployments—a necessity for success in a future where AI agents work alongside and support humans. Because just as humans need the right information to do their jobs, AI needs to understand the business. With updates to its AgentC suite, the acquisition of Orchestration Engine, and multiple platform advancements, Celonis showed how it provides the intelligence companies need to build effective AI agents, helps them orchestrate end-to-end business processes, and simplifies the deployment of PI and AI across the enterprise.

“AI is great for everyday tasks, like writing emails. But to provide maximum value for business, it needs to do things like telling you which customer deliveries are at risk and take automated action to reroute deliveries and notify logistics partners,” said Alex Rinke, co-CEO and co-founder of Celonis. “Celonis Process Intelligence makes this possible. It provides AI with the process knowledge and business context to make it effective in accomplishing business-critical tasks, like mitigating supply chain disruptions, optimizing inventory, and managing tariffs. That’s why we strongly believe that for enterprise use cases, ‘there’s no AI without PI’.”

PI + AI = Maximum ROI

The Process Intelligence Graph (PI Graph), which sits at the heart of the Celonis platform, brings together process data and business context to create a living digital twin of business operations. Celonis AgentC, a suite of AI agent tools, integrations, and partnerships, feeds the Process Intelligence from the PI Graph to AI agents, whether customers build them in leading AI platforms or leverage prebuilt agents from Celonis and its partners. 

Following the launch of AgentC at Celosphere in October 2024, the company unveiled significant upgrades to AgentC just six months later at Celonis:Next, including an extended Process Intelligence API that makes it easier to securely share PI context, metrics, and recommended actions with AI platforms such as Microsoft Copilot Studio, Amazon Bedrock, or Salesforce Agentforce.

But AI agents are just the latest among many tools that companies are using to automate and streamline tasks. Modern business processes involve an increasingly intricate web of system- and application-level automations, workflow automations, RPA bots, and manual activities that span multiple systems. But companies lack the ability to oversee and control all of these tools.

Celonis Orchestration Engine provides an intelligent orchestration layer that connects and coordinates tasks in a given process across all tools, systems and departments. Leveraging real-time Process Intelligence, companies can observe process workflows live and direct processes toward the outcomes they want to achieve. Orchestration Engine gives a new level of control and agility to companies as they adapt their workflows to an ever-changing world. Celonis has acquired Orchestration Engine from its partner Emporix and fully integrated it with the Celonis platform.

Celonis also announced enhancements to the tools that help customers build AI capabilities on Celonis, including:

• Process Copilots in GA: Celonis Process Copilots are now generally available and can be used in collaboration tools like Slack and Microsoft Teams. Now Celonis’ customers’ employees can interact with their processes in their regular workspaces and get answers fast about what’s working and what blockers need their attention.

• Annotation Builder in GA: The Celonis Annotation Builder, a no-code GenAI tool for recommending decisions, is now generally available. Static dashboards are a thing of the past — now Celonis analytics views show employees AI-generated recommendations for how to address issues and improve processes.

“Celonis’ AI capabilities have fundamentally improved our inventory management and maintenance response,” said Brian Dodson, Business Process Improvement Manager and Celonis Center of Excellence lead at Smurfit Westrock. “Our plant technicians can now ask their Process Copilot to locate and arrange transfers of spare parts from other plants, minimizing disruption and maximizing value by keeping our operations running smoothly.”

Celonis Solution Suites + Partner Apps: Everything enterprises need to leverage PI + AI

To enable faster deployment of PI and AI across every department in the enterprise, thereby accelerating process improvement and reducing time to value, Celonis introduced Celonis Solution Suites—comprehensive packages that combine connectors to critical systems, pre-defined process data and business context, AI-powered capabilities, and pre-built apps. Today, four Solutions Suites have been launched:

• Supply Chain Solution Suite

• Finance Solution Suite

• Front Office Solution Suite

• Sustainability Solution Suite

Celonis Solution Suites are already being used by leading consumer goods companies to deliver the best customer experience, even in the face of today’s supply chain disruption, complexities, and growing cost pressures. Celonis helped one organization quantify how many customer orders were being automatically rejected due to minimum order quantity thresholds. With the right insights, those orders could be bundled and filled instead of being rejected.

Enhancements across the Celonis platform

Celonis has made its Process Intelligence platform faster and easier to use with multiple advancements, including:

• Process Intelligence Graph expansion: Celonis has expanded the PI Graph’s pre-built objects and events catalogue. Long-time Celonis customers can bring their existing data models into the PI Graph faster and simpler. And new version control features make it easier for customers to manage their individual PI Graph.

• New Celonis Process Management API integration: Celonis Process Management unites process mining and modeling, bringing data on how processes should run, and how they actually run, together. With a new direct API integration, companies can now import process models into the Celonis Process Adherence Manager, getting unparalleled detail and accuracy in process adherence assessment—a capability unmatched in the market.

• Microsoft Fabric integration: Celonis Process Intelligence is now available as a workload in Microsoft Fabric. Celonis‘ zero-copy integration with Fabric and the ability to embed Celonis Views into Fabric lets Microsoft users seamlessly embed process intelligence into solutions they’re building.

• Process Mining innovation: A new event log builder lets users create, modify and explore event logs on the fly directly in Celonis Views without having to go back to the data model, write lines of SQL code, or create new sub-processes.

• More intuitive and customizable Studio Views: New scalable View Modules make sure changes made to one View Module are automatically replicated anywhere it’s used. Performing deeper analysis is faster with new process visualizations and enhanced filtering options. And new scheduled reports let users share insights with key stakeholders on a daily, weekly, or monthly basis.

• New PQL Editor: PQL is the language of Process Intelligence. The new PQL Editor is business context aware and continuously in sync with customer Knowledge Models.

“Alongside our partners, we continuously invest in our platform,” said Dan Brown, Chief Product Officer at Celonis. “With AgentC and our Process Intelligence API, we’re helping customers maximize the ROI of their AI deployments. Orchestration Engine enables stronger oversight and control of process workflows. And Solution Suites shorten time to value by making it faster and easier to deploy PI and AI across the enterprise.”

Most of the newly announced capabilities, including Process Copilot and Annotation Builder, are available for deployment immediately. Companies can explore these features and engage with the Celonis community at upcoming events like the Celonis Process Intelligence Days, Celonis: Next Product Forums, and Celosphere in Munich, November 4th-5th.

Kolkata, May 13th, 2025: With drone technology increasingly shaping modern responses to both civilian and strategic challenges, JIS Group took a timely and progressive step by successfully conducting a three-day Drone Training Course at the Dr. Sudhir Chandra Sur Institute of Technology and Sports Complex. Organised by the JIS DRONE ACADEMY, the course drew participation from over 50 students, eager to explore and understand the evolving role of unmanned aerial systems in today’s world.

Under the expert mentorship of Mr. Sobhan Chakraborty (Program Head), Mr. Suvendu Mondal (Centre Manager), and drone specialist Mr. Rakesh, students were trained in both the theoretical framework and hands-on operation of drone technology. From basic flight mechanics and airspace regulations to live aerial navigation, the programme offered a robust foundation. It went beyond basic flight training—providing exposure to emerging applications across sectors like precision agriculture, ecological mapping, security surveillance, and infrastructure monitoring.

In an era marked by heightened national security concerns and climate challenges, drones have emerged as indispensable in strategic surveillance and ecosystem management. The course not only introduced students to the operational dynamics of drones in high-alert zones but also shed light on their use in sustainable agriculture—such as crop health analysis, irrigation planning, and terrain assessment—thus encouraging students to see drones as instruments of both protection and preservation.

Importantly, participants were also introduced to the procedures for obtaining a certified drone pilot license, giving them clarity on the legalities, compliance frameworks, and career avenues now opening up in this rapidly expanding domain.

While the course was academic in design, it was deeply rooted in real-world utility, preparing students for scenarios where such skills could prove vital—not just in commercial or industrial applications, but also in sectors where national interest, food security, and climate resilience converge.

Every participant left the training with a certificate and a renewed awareness of the responsibility and potential that comes with mastering such a powerful technology.

Speaking on the initiative, Sardar Simarpreet Singh, Director, JIS Group, said, “Our aim is to prepare our students not just for the careers of tomorrow, but for the realities of today. Drones have become integral tools in everything from agriculture and disaster response to national defense and internal security. Through JIS DRONE ACADEMY, we are envisioning nurturing young talents who can adapt, innovate, and lead in a world where technology plays a decisive role in safeguarding lives and enabling perseverance.”

INDIA, MAY 13, 2025 – IT leaders are increasingly trusting AI with business-critical tasks from traffic management to cost optimization, according to the industry’s most comprehensive report on application strategy.

F5’s 2025 State of Application Strategy Report, which surveys global IT decision makers1, found that 96% of organizations are now deploying AI models, up from a quarter in 2023.

There is also a growing willingness to elevate AI to the heart of business operations. Almost three-quarters of respondents (72%) said they want to use AI to optimize app performance, whereas 59% support the use of AI for both cost-optimization and to inject security rules, automatically mitigating zero-day vulnerabilities.

Today, half of organizations are using AI gateways to connect applications to AI tools, and another 40% expect to be doing so in the next 12 months. Most are using this technology to protect and manage AI models (62%), provide a central point of control (55%), and to protect their company from sensitive data leaks (55%).

“This year’s SOAS Report shows that IT decision makers are becoming confident about embedding AI into ops,” said Lori MacVittie, F5 Distinguished Engineer. “We are fast moving to a point where AI will be trusted to operate autonomously at the heart of an organization, generating and deploying code that helps to cut costs, boost efficiency, and mitigate security problems. That is what we mean when we talk about AIOps, and it is now becoming a reality.”

Operational Readiness and API Challenges Remain

Despite growing AI confidence, the SOAS Report highlights several enduring challenges. For organizations currently deploying AI models, the number one concern is AI model security.

And, while AI tools are more autonomous than ever, operational readiness gaps still exist. 60% of organizations feel bogged down by manual workflows, and 54% claim skill shortages are barriers to AI development.

Furthermore, almost half (48%) identified the cost of building and operating AI workloads as a problem, up from 42% last year.

A greater proportion of organizations also said that they have not established a scalable data practice (39% vs. 33% in 2024) and that they do not trust AI outputs due to potential bias or hallucinations (34% vs. 27%). However, fewer complained about the quality of their data (48%, down from 56% last year).

APIs were another concern. 58% reported they have become a pain point, and some organizations spend as much as half of their time managing complex configurations involving numerous APIs and languages. Working with vendor APIs (31%), custom scripting (29%), and integrating with ticketing and management systems (23%) were flagged as the most time-consuming automation-related tasks.

“Organizations need to focus on the simplification and standardization of operations, including streamlining APIs, technologies, and tasks,” said MacVittie. “They should also recognize that AI systems are themselves well-suited to handle complexity autonomously by generating and deploying policies or solving workflow issues. Operational simplicity is not just something on which AI is going to rely, but which it will itself help to deliver.”

Hybrid App Deployments Prevail

Allied to soaring AI appetites is a greater reliance on hybrid cloud architectures.

According to the SOAS Report, 94% of organizations are deploying applications across multiple environments, including public clouds, private clouds, on-premises data centers, edge computing, and colocation facilities—to meet varied scalability, cost, and compliance requirements.

Consequently, most decision makers see hybrid environments as critical to their operational flexibility. 91% cited adaptability to fluctuating business needs as the top benefit of adopting multiple clouds, followed by improved app resiliency (68%) and cost efficiencies (59%).

A hybrid approach is also reflected in deployment strategies for AI workloads, with 51% planning to use models across both cloud and on-premises environments for the foreseeable future.

Significantly, 79% of organizations recently repatriated at least one application from the public cloud back to an on-premises or colocation environment, citing cost control, security concerns, and predictability. This marks a dramatic rise from 13% just four years ago, further underscoring the importance of preserving flexibility beyond public cloud reliance.

Still, the hybrid model can prove a headache for some. Inconsistent delivery policies (reported by 53% of respondents) and fragmented security strategies (47%) are all top of mind in this respect.

“While spreading applications across different environments and cloud providers can bring challenges, the benefits of being cloud-agnostic are too great to ignore. It has never been clearer that the hybrid approach to app deployment is here to stay,” said Cindy Borovick, Director of Market and Competitive Intelligence, F5.

APCJ AI Adoption and Challenges – Key Highlights:

• AI Gateways on the Rise: Nearly half of APCJ organizations (49%) are already using AI gateways to connect applications to AI tools, with another 46% planning to do so in the next 12 months.
• Top Use Cases for AI Gateways: Among those leveraging AI gateways, the most common applications include protecting and managing AI models (66%), preventing sensitive data leaks (61%), and observing AI traffic and application demand (61%).
• Data and Trust Challenges: Over half (53%) struggle with immature data quality, and 45% are deterred by the high costs of building and running AI workloads.
• Hybrid Complexity: The hybrid model of AI deployment introduces hurdles, with 79% citing inconsistent security policies, 59% highlighting delivery inconsistencies, and 16% dealing with operational difficulties.

Toward a Programmable, AI-Driven Future

Looking ahead, the SOAS Report suggests that organizations aiming to unlock AI’s full potential should focus on creating programmable IT environments that standardize and automate app delivery and security policies.

By 2026, AI is expected to move from isolated tasks to orchestrating end-to-end processes, marking a shift toward complete automation within IT operations environments. Platforms equipped with natural language interfaces and programmable capabilities will increasingly eliminate the need for traditional management consoles, streamlining IT workflows with unprecedented precision.

“Flexibility and automation are no longer optional—they are critical for navigating complexity and driving transformation at scale,” Borovick emphasized. “Organizations that establish programmable foundations will not only enhance AI’s potential but create IT strategies capable of scaling, adapting, and delivering exceptional customer experiences in the modern age.”