#generative ai for telecom

[brillioitservices]

The Generative AI Revolution: Transforming Industries with Brillio

The realm of artificial intelligence is experiencing a paradigm shift with the emergence of generative AI. Unlike traditional AI models focused on analyzing existing data, generative AI takes a leap forward by creating entirely new content. The generative ai technology unlocks a future brimming with possibilities across diverse industries. Let's read about the transformative power of generative AI in various sectors: 

1. Healthcare Industry: 

AI for Network Optimization: Generative AI can optimize healthcare networks by predicting patient flow, resource allocation, etc. This translates to streamlined operations, improved efficiency, and potentially reduced wait times. 

Generative AI for Life Sciences & Pharma: Imagine accelerating drug discovery by generating new molecule structures with desired properties. Generative AI can analyze vast datasets to identify potential drug candidates, saving valuable time and resources in the pharmaceutical research and development process. 

Patient Experience Redefined: Generative AI can personalize patient communication and education. Imagine chatbots that provide tailored guidance based on a patient's medical history or generate realistic simulations for medical training. 

Future of AI in Healthcare: Generative AI has the potential to revolutionize disease diagnosis and treatment plans by creating synthetic patient data for anonymized medical research and personalized drug development based on individual genetic profiles. 

2. Retail Industry: 

Advanced Analytics with Generative AI: Retailers can leverage generative AI to analyze customer behavior and predict future trends. This allows for targeted marketing campaigns, optimized product placement based on customer preferences, and even the generation of personalized product recommendations. 

AI Retail Merchandising: Imagine creating a virtual storefront that dynamically adjusts based on customer demographics and real-time buying patterns. Generative AI can optimize product assortments, recommend complementary items, and predict optimal pricing strategies. 

Demystifying Customer Experience: Generative AI can analyze customer feedback and social media data to identify emerging trends and potential areas of improvement in the customer journey. This empowers retailers to take proactive steps to enhance customer satisfaction and loyalty. 

3. Finance Industry: 

Generative AI in Banking: Generative AI can streamline loan application processes by automatically generating personalized loan offers and risk assessments. This reduces processing time and improves customer service efficiency. 

4. Technology Industry: 

Generative AI for Software Testing: Imagine automating the creation of large-scale test datasets for various software functionalities. Generative AI can expedite the testing process, identify potential vulnerabilities more effectively, and contribute to faster software releases. 

Generative AI for Hi-Tech: This technology can accelerate innovation in various high-tech fields by creating novel designs for microchips, materials, or even generating code snippets to enhance existing software functionalities. 

Generative AI for Telecom: Generative AI can optimize network performance by predicting potential obstruction and generating data patterns to simulate network traffic scenarios. This allows telecom companies to proactively maintain and improve network efficiency. 

5. Generative AI Beyond Industries: 

GenAI Powered Search Engine: Imagine a search engine that understands context and intent, generating relevant and personalized results tailored to your specific needs. This eliminates the need to sift through mountains of irrelevant information, enhancing the overall search experience. 

Product Engineering with Generative AI: Design teams can leverage generative AI to create new product prototypes, explore innovative design possibilities, and accelerate the product development cycle. 

Machine Learning with Generative AI: Generative AI can be used to create synthetic training data for machine learning models, leading to improved accuracy and enhanced efficiency. 

Global Data Studio with Generative AI: Imagine generating realistic and anonymized datasets for data analysis purposes. This empowers researchers, businesses, and organizations to unlock insights from data while preserving privacy. 

6. Learning & Development with Generative AI: 

L&D Shares with Generative AI: This technology can create realistic simulations and personalized training modules tailored to individual learning styles and skill gaps. Generative AI can personalize the learning experience, fostering deeper engagement and knowledge retention. 

HFS Generative AI: Generative AI can be used to personalize learning experiences for employees in the human resources and financial services sector. This technology can create tailored training programs for onboarding, compliance training, and skill development. 

7. Generative AI for AIOps: 

AIOps (Artificial Intelligence for IT Operations) utilizes AI to automate and optimize IT infrastructure management. Generative AI can further enhance this process by predicting potential IT issues before they occur, generating synthetic data for simulating scenarios, and optimizing remediation strategies. 

Conclusion: 

The potential of generative AI is vast, with its applications continuously expanding across industries. As research and development progress, we can expect even more groundbreaking advancements that will reshape the way we live, work, and interact with technology. 

Reference- https://articlescad.com/the-generative-ai-revolution-transforming-industries-with-brillio-231268.html 

[deepdreamnights]

A British telecom company has made a generative AI bot that takes calls from scammers while impersonating a baffled old grandmother that tells meandering stories and goes on weird tangents to waste the scammers' time while also recording everything to get information on their operations.

This is, in a word, awesome.

[networktelecom]

www.netrworkteleco.com

[kamalkafir-blog]

Senior Golang Engineer - Go / Kubernetes

Job title: Senior Golang Engineer – Go / Kubernetes Company: Source Group International Job description: for teams working with Generative AI and Large Language Models (LLMs). You’ll define best practices for integrating GenAI… of engineering practices across business units. Set standards for LLMOps, GenAI integration, and data vectorization. Contribute… Expected salary: £100000 – 150000 per…

[covalesedigital]

Generative AI in Telecommunications: Driving Innovation and Operational Transformation

Generative AI in Telecommunications

As the telecom industry navigates rapid digital expansion, Generative AI emerges as an indispensable catalyst for operational agility and innovation. With soaring global data demands and the rise of complex service ecosystems, traditional methods fall short in addressing the modern requirements for speed, scale, and intelligence. By empowering telecommunications providers to analyse data flows, anticipate trends, and automate workflows, Generative AI lays the groundwork for precision-driven strategies that are essential for competitiveness. It bridges the gap between rising customer expectations and complex operational demands, offering AI-driven solutions that ensure precision and efficiency across marketing, customer engagement, and workflows. Understanding its role is key to staying ahead in a sector marked by constant evolution and complexity.

Generative AI-Powered Telecom Solutions for Enhanced Efficiency

Telecommunications providers are increasingly turning to Generative AI-driven solutions to optimise their operations and stay competitive in a fast-changing industry. These advanced tools help streamline customer engagement, enhance marketing efforts, and improve internal workflows. By leveraging machine learning and real-time data, telecommunications companies can make smarter decisions and respond more effectively to customer needs. With seamless integration into existing systems, these Generative AI solutions offer scalability, efficiency, and agility in a market where technology is constantly evolving.

AI-Driven Marketing Campaigns

Generative AI enables telecommunications marketing teams to create data-driven, precision-targeted campaigns. By analysing behavioural data, spending trends, and engagement patterns, AI-powered systems segment customers based on preferences and usage. Advanced algorithms craft customised campaigns aligned with individual needs, driving higher conversions and engagement. For instance, AI identifies customers frequently upgrading plans and suggests personalised offers, such as loyalty rewards or premium service discounts, delivered through preferred channels like SMS or email. Real-time insights optimise campaign timing. With multi-channel delivery, proactive insights, and visual analysis, campaigns adapt dynamically based on customer responses. Automated workflows streamline execution, ensuring impactful, cost-effective marketing strategies that boost customer satisfaction and revenue.

Next Best Reward Optimisation

Telecommunications loyalty programmes are advanced through machine learning (ML) and IoT analytics for precision-driven reward strategies. ML algorithms analyse real-time data, spending patterns, and service usage to identify high-value customers, ensuring rewards are customised to individual preferences. For example, AI can identify customers who frequently upgrade their plans and offer personalised incentives such as premium data packages or discounts on 5G upgrades. AI detects data overages and recommends proactive offers, boosting customer satisfaction and Net Promoter Scores (NPS). IoT-driven insights enable proactive solutions, such as offering family plans to high-demand users. Seamlessly integrated billing systems automate reward delivery, ensuring operational efficiency. Predictive analytics continuously refine strategies, aligning rewards with business objectives to maximise customer engagement and profitability.

Enhanced Customer Connections through Generative AI Solutions

Generative AI empowers telecom providers to deliver personalised, proactive experiences by analysing real-time data using advanced algorithms, behavioural analytics, and machine learning models. AI generates customised value propositions, such as optimised data plans for frequent streaming users, ensuring precision and relevance. Proactive insights predict customer needs, enabling timely recommendations like data top-ups or package upgrades through automated notifications. Cloud-powered scalability ensures seamless delivery of personalised engagements, adapting dynamically to surges during high-demand events. Natural language processing (NLP) refines customer interactions, interpreting sentiments from chat or voice data. This approach builds trust, drives upselling opportunities, and creates loyalty with offers like early 5G access or premium support, ensuring operational excellence.

Advanced Data Insights for Operational Excellence

Telecommunications providers are equipped with actionable insights to enhance internal workflows and strategic decision-making. Using advanced machine learning models, AI analyses structured and unstructured data to identify patterns that optimise resource allocation, workforce efficiency, and cost management. For instance, AI predicts network traffic spikes, enabling proactive capacity adjustments during peak periods. By uncovering operational inefficiencies, such as underutilised assets, the system suggests corrective measures to reduce costs. Dynamic dashboards provide real-time data visualisation, facilitating leadership decisions on market trends and bottlenecks. With cloud-powered scalability, these insights are delivered efficiently, aligning strategies with business goals to maximise profitability and competitiveness.

Intelligent Case Management

Our solution integrates AI-powered Intelligent Case Management systems that improve real-time query processing through NLP and machine learning. These systems categorise and prioritise cases, enabling immediate escalation of issues like network outages based on customer sentiment and SLA parameters. When a customer reports a recurring billing issue, the system analyses historical interactions, categorises the query, and assigns it to an agent with expertise in billing discrepancies, offering recommended solutions. Comprehensive dashboards analyse trends, optimise workflows, and expedite root cause identification via pre-built API integrations, ensuring minimal downtime, peak scalability, and adaptive resolutions.

Transforming Telecommunications with Generative AI and Csmart

Generative AI is set to reshape telecommunications by enabling more precise decision-making, automating complex workflows, optimising network resource management, and analysing IoT data for actionable insights. These developments are key to improving operational efficiency, scaling operations, and uncovering new market potential.

Csmart's cutting-edge Generative AI solutions combine advanced algorithms with deep industry expertise to revolutionise telecommunications operations. Our integrated approach helps operators navigate complex challenges while driving operational excellence, enhancing customer experiences, and unlocking new growth opportunities. Through seamless technology integration and innovative AI capabilities, we empower telecommunications providers to stay ahead in an evolving digital landscape.

Ready to transform your telecommunications operations? Contact us at reachus@covalensedigital.com to explore how our Generative AI soultions can drive innovation and efficiency in your organisation.

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[tekginger]

Airtel started using AI tools to identify spam calls, Will it help!

Bharti Airtel, India’s second-largest phone company, announced that it will start using an AI tool to help identify and block spam calls and messages for all its customers.The company claims the solution is India’s first network-based, AI-powered, spam detection system.The feature will alert Airtel’s customers in real-time to suspected spam calls and text messages, and will automatically activate…

[priyanshusoni]

7 Ways to Promote Responsible Use of Generative AI

Responsible Use of Generative AI Introduction As the field of artificial intelligence continues to evolve, one aspect that has garnered significant attention is generative AI. This technology, often referred to as deep learning or neural networks, has the ability to create new and original content based on patterns and data it has been trained on. While the applications of generative AI are…

[mariacallous]

On Tuesday, New Hampshire attorney general John Formella said that a Texas-based telecom company was behind the reportedly AI-generated robocalls impersonating President Joe Biden that went out ahead of the state’s presidential primary last month.

At a press conference on Tuesday, Formella announced that he had identified Life Corporation and its owner, Walter Monk, as the source behind the thousands of calls and that his office issued a cease-and-desist letter to the company and had opened a criminal investigation into the matter. The Federal Communications Commission sent its own cease-and-desist letters to Life Corporation, as well as another Texas company, Lingo Telecom, the alleged voice service provider of the calls.

“Ensuring public confidence in the electoral process is vital,” Formella said at the Tuesday press conference. “We're providing this update and information today to assure the public that we take this seriously and that this is one of our most important priorities. We are also providing this update and information to send a strong message of deterrence to any person or entity who would attempt to undermine our elections through AI or other means.”

Formella said that anywhere from 5,000 to 25,000 of these robocalls were placed ahead of the New Hampshire primary that mimicked Biden and discouraged voters from voting. “Your vote makes a difference in November, not this Tuesday,” the robocall said.

In January, WIRED reported that two teams of researchers had determined that the call was created with voice-cloning software from the AI startup Eleven Labs. The company declined to take responsibility for the Biden clone, telling WIRED that it was “dedicated to preventing the misuse of audio AI tools.”

Last week, the FCC put out a new proposal to ban robocalls that use AI-generated voices by updating the Telephone Consumer Protection Act, a 1991 law that regulates telemarketers. The FCC has used the TCPA in the past to go after junk callers, including conservative activists Jacob Wohl and Jack Burkman. In 2021, the FCC fined the pair more than $5 million for violating the law after they placed calls threatening to release the personal information of voters if they voted by mail in the 2020 election.

“Consumers deserve to know that the person on the other end of the line is exactly who they claim to be,” FCC chairwoman Jessica Rosenworcel said in a statement on Tuesday.

[istrumpstillpresident]

yes

(5/3/25)

https://www.reuters.com/business/media-telecom/trump-posts-ai-generated-photo-himself-pope-2025-05-03/

[partisan-by-default]

Mobile operator O2 has created an AI-powered tool that sounds like an elderly grandmother, keeping phone scammers on calls and away from the general public. The telecoms giant said it had created the so-called “scambaiter” tool in response to research which found that seven in 10 people wanted to get their own back on scammers but did not want to waste their own time in doing so.

The firm said it had worked with leading scambaiters – people who take on and disrupt scammer networks – to get phone numbers linked to its AI tool, known as Daisy, added to known lists used by scammers to target vulnerable consumers, and had been given the voice of an elderly grandmother to play on scammer biases about older people.

It said the tool had been successful in keeping numerous scammers on calls for up to 40 minutes at a time and frustrated them with meandering stories and explanations about their tech use, as well as providing false personal information and made-up bank details.

O2 said that by tricking fraudsters into thinking they were scamming a real person, Daisy has prevented them from targeting real victims, but had also exposed the common tactics used so the firm can help customers better protect themselves.

[prachifeels224]

Digital Rajasthan: Rajyavardhan Rathore’s IT Revolution

Rajasthan is undergoing a digital transformation, and at the center of this movement is Rajyavardhan Singh Rathore, the Minister of Information and Technology in Rajasthan. With his leadership, the state is embracing smart technology to empower citizens, improve governance, and boost rural development.

1. Expanding Digital Governance

As the head of the Department of Information Technology and Communications, Rathore has rolled out several digital services that make life easier for people across the state:

Online access to documents and schemes

E-payment portals for bills and taxes

Real-time service tracking

These changes reduce paperwork, increase transparency, and eliminate middlemen.

2. Internet Access for Every Village

Rathore is working closely with telecom companies and local bodies to ensure that even the most remote villages in Rajasthan are connected.

High-speed internet in thousands of villages

Support for online education and telemedicine

Boost to rural communication and digital awareness

His work supports the mission of the ministry of communication and information technology in Rajasthan and the broader goals of the Rajasthan ministry of information and communication technology.

3. Digital Skills for Youth Empowerment

Under Rathore’s leadership, various digital literacy and training camps are being held statewide:

Courses in basic computing, coding, and digital marketing

Skill-building in online business and freelancing

Training centers aligned with modern job markets

These efforts align with the goals of the department of communication and information technology to build a digitally capable generation.

4. Making E-Governance Efficient and Transparent

Rathore’s administration is strengthening e-governance infrastructure by:

Launching mobile apps and portals for grievance redressal

Digitizing citizen records and service data

Improving communication between departments through cloud platforms

These initiatives have made government more accessible and responsive.

5. Building Smart Villages and Panchayats

A major part of Rathore’s plan is to transform rural governance with smart tools:

Wi-Fi hotspots in public areas

Digital notice boards and solar charging stations

Real-time data systems for gram panchayats

This is a bold step towards an inclusive and Digital Rajasthan.

6. IT Infrastructure for the Future

The Rajasthan ministry of information and communication technology is investing in:

Data security and cloud storage

AI-driven decision making tools

Integrated digital frameworks for all departments

These improvements will ensure smoother inter-departmental communication and long-term efficiency.

7. Leadership That Listens

Rathore’s leadership style reflects his Army background and Olympic discipline:

Regular feedback sessions with citizens and IT experts

Quick adaptation based on user needs

Focus on transparency, speed, and public good

Conclusion

Rajyavardhan Singh Rathore, as the minister of information and technology in Rajasthan, is building a stronger, smarter, and more inclusive future. With expanded rural internet, improved e-services, and youth training programs, he is leading the way toward a truly Digital Rajasthan—where technology uplifts every citizen.

[kamalkafir-blog]

Senior Oracle EPM Cloud (Planning) Functional Consultant

Job title: Senior Oracle EPM Cloud (Planning) Functional Consultant Company: Version 1 Job description: & Ireland’s premier Oracle, Microsoft & AWS partner Market leader in Oracle ERP and Cloud Applications Consulting…, implementation, and support services 3300+ strong, €347m/£302m revenue business ERP Partner of the Year & 10 years as GPTW to work… Expected salary: Location: England Job date:…

[covalesedigital]

Generative AI: Unveiling New Telco Centric Potential

The Generative AI Frontier in Telecom: Challenges and Transformations 

The advent of generative artificial intelligence (AI) in telecommunications presents a unique set of challenges, distinguishing it from traditional tech hurdles. While it promises unparalleled innovation, the integration of generative AI confronts telecom providers with issues of adaptability, complexity in deployment, and the creation of truly personalized customer experiences. These challenges are not just technical but also strategic, as they necessitate a reimagining of service delivery models to fully leverage AI's potential.  

Redefining Telecommunications with Gen AI Innovation 

In this transformative era, generative AI emerges not just as a technological advancement but as a strategic asset redefining the telecom landscape. By embracing these challenges as opportunities, generative AI paves the way for groundbreaking solutions in personalization, efficiency, and scalability. It enables the creation of dynamic, AI-driven interactions and services that anticipate and adapt to customer needs in real-time, offering a level of customization previously unattainable. This AI-driven shift revolutionizes telecom, transforming challenges into opportunities for unmatched customer satisfaction and operational success. 

Advancing Telecom: The Rise of Gen AI Innovations 

The landscape of telecommunications is being radically transformed by the latest advancements in generative AI, introducing a future where efficiency, personalization, and innovation converge to create unparalleled customer experiences. These cutting-edge features are not just enhancements; they are the cornerstone of a new digital telecom era, designed to astonish and exceed expectations. 

AI-Driven Marketing Campaigns: Revolutionizing outreach by creating deeply personalized, AI-generated content that dynamically aligns with individual customer profiles and preferences, setting a new standard for customer engagement. 

Next Best Reward Optimization: Employing predictive analytics to customize loyalty incentives in real-time, fostering an unprecedented level of customer loyalty and satisfaction and boosting the NPS. 

Enhanced Customer Connections: Through Generative AI, telecom services tap into extensive data to customize each interaction, ensuring every customer feels uniquely valued. This approach fundamentally alters customer perceptions, fostering a deeper relationship with their service provider 

Proactive AI Notifications: Anticipating customer needs and delivering timely, relevant information through intelligent automation, enhancing the customer journey with every interaction. 

Intelligent Case Management: Streamlining support with AI-driven insights and recommendations, significantly reducing resolution times, first contact resolution while simultaneously elevating the quality of customer service.

To Know more visit: Covalensedigital

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[radiantlyshiftingrebel]

Photonic Integrated Circuit Market 2033: Key Players, Segments, and Forecasts

Market Overview

The Global Photonic Integrated Circuit Market Size is Expected to Grow from USD 11.85 Billion in 2023 to USD 94.05 Billion by 2033, at a CAGR of 23.02% during the forecast period 2023-2033.  

Photonic Integrated Circuit (PIC) Market is witnessing transformative momentum, fueled by the global push towards faster, energy-efficient, and miniaturized optical components. As data demands soar and photonics become essential in telecom, AI, quantum computing, and biosensing, PICs are emerging as the nerve center of next-generation optical solutions. These chips integrate multiple photonic functions into a single chip, drastically improving performance and cost-efficiency.

Market Growth and Key Drivers

The market is set to grow at an exceptional pace, driven by:

Data Center Expansion: Surging internet traffic and cloud services are fueling PIC-based optical transceivers.

5G & Beyond: Demand for faster, low-latency communication is driving adoption in telecom infrastructure.

Quantum & AI Computing: PICs are critical to the advancement of light-based quantum circuits and high-speed AI processors.

Medical Diagnostics: Miniaturized photonic sensors are revolutionizing biomedical imaging and lab-on-chip diagnostics.

Defense & Aerospace: PICs provide enhanced signal processing and secure communication capabilities.

Get More Information: Click Here

Market Challenges

Despite strong potential, the PIC market faces several hurdles:

Fabrication Complexity: Advanced PICs demand high-precision manufacturing and integration techniques.

Standardization Issues: Lack of global standards slows down mass deployment and interoperability.

High Initial Investment: R&D and setup costs can be prohibitive, especially for SMEs and startups.

Thermal Management: Maintaining performance while managing heat in densely packed circuits remains a challenge.

Market Segmentation

By Component: Lasers, Modulators, Detectors, Multiplexers/Demultiplexers, Others

By Integration Type: Monolithic Integration, Hybrid Integration

By Material: Indium Phosphide (InP), Silicon-on-Insulator (SOI), Others

By Application: Optical Communication, Sensing, Biomedical, Quantum Computing, RF Signal Processing

By End User: Telecom, Healthcare, Data Centers, Aerospace & Defense, Academia

Regional Analysis

North America: Leading in R&D, startups, and federal defense contracts.

Europe: Home to silicon photonics innovation and academic-industrial collaboration.

Asia-Pacific: Witnessing rapid adoption due to telecom expansion and smart manufacturing in China, South Korea, and Japan.

Middle East & Africa: Emerging opportunities in smart city and surveillance tech.

Latin America: Gradual growth driven by increasing telecom and IoT penetration.

Competitive Landscape

Key players shaping the market include:

Intel Corporation

Cisco Systems

Infinera Corporation

NeoPhotonics

IBM

II-VI Incorporated

Hewlett Packard Enterprise

Broadcom Inc.

GlobalFoundries

PhotonDelta (Europe-based accelerator)

Positioning and Strategies

Leading companies are focusing on:

Vertical Integration: Owning every stage from design to packaging for cost control and performance.

Strategic Partnerships: Collaborations with telecom operators, hyperscalers, and research institutes.

Application-Specific Customization: Tailoring PICs for specific end-user applications (e.g., medical devices or LiDAR systems).

Global Fab Alliances: Leveraging cross-continental manufacturing capabilities for scale and speed.

Buy This Report Now: Click Here

Recent Developments

Intel unveiled a next-gen 200G PIC-based optical transceiver targeting AI data centers.

Infinera's XR optics platform is redefining network scaling with dynamic bandwidth allocation.

European Photonics Alliance launched an initiative to accelerate PIC adoption in SMEs.

Startups like Ayar Labs and Lightmatter raised significant VC funding to develop photonics-based computing solutions.

Trends and Innovation

Co-Packaged Optics (CPO): Integrating optics with switching ASICs for power and latency optimization.

Silicon Photonics: Scalable, CMOS-compatible manufacturing opening the doors to mass production.

Quantum Photonic Chips: Rapid R&D in quantum-safe communications and computing.

Edge Photonics: Enabling localized, high-speed data processing for Industry 4.0 and IoT applications.

AI-Powered Design: ML models used for photonic circuit simulation and optimization.

Related URLS: 

https://www.sphericalinsights.com/our-insights/antimicrobial-medical-textiles-market  https://www.sphericalinsights.com/our-insights/self-contained-breathing-apparatus-market  https://www.sphericalinsights.com/our-insights/ozone-generator-market-size  https://www.sphericalinsights.com/our-insights/agro-textile-market 

Opportunities

Telecom & Cloud Providers: Demand for next-gen, low-latency networks creates significant opportunities.

Healthcare Startups: PICs enable affordable, portable diagnostics, expanding precision medicine.

Defense & Security: High-performance signal processing and surveillance enhancements.

Automotive LiDAR: Integration of PICs into autonomous vehicle sensor suites.

Future Outlook

The Photonic Integrated Circuit Market is moving from research-focused innovation to mainstream commercial adoption. By 2030, PICs are expected to power a wide array of industries—fundamentally redefining computing, communication, and sensing systems. Standardization, improved design tools, and silicon photonics will be pivotal in unlocking scalable mass adoption.

Conclusion

As digital transformation becomes more photon-powered, Photonic Integrated Circuits stand at the frontier of high-speed, high-efficiency technology. For decision-makers, investors, startups, and policymakers, now is the moment to align strategies, fund innovation, and build the ecosystem that will define the photonic era.

About the Spherical Insights

Spherical Insights is a market research and consulting firm which provides actionable market research study, quantitative forecasting and trends analysis provides forward-looking insight especially designed for decision makers and aids ROI.

which is catering to different industry such as financial sectors, industrial sectors, government organizations, universities, non-profits and corporations. The company's mission is to work with businesses to achieve business objectives and maintain strategic improvements.

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[news365timesindia]

[ad_1] Reliance Jio Infocomm chairman Akash M Ambani | Image: PTI3 min read Last Updated : Oct 15 2024 | 12:41 PM IST Speaking at the inauguration of the India Mobile Congress on Tuesday, the leaders of Reliance Jio and Bharti Airtel called for the government to embrace a holistic artificial intelligence (AI) strategy and ensure all potential satellite communication providers are subject to the same rules as traditional telecom operators. Reliance Jio Infocomm chairman Akash M Ambani and Bharti Enterprises chairman Sunil Bharti Mittal outlined their suggestions for the evolving sector in their address to a major gathering of national and global delegates from the telecom sector, including Prime Minister Narendra Modi and telecom minister Jyotiraditya Scindia. Click here to connect with us on WhatsApp  Market leader Reliance Jio wants the government to adopt a holistic AI strategy focused on self-sufficiency. "AI is absolutely critical for realising our dreams of a viksit Bharat by 2047. Therefore, India under your leadership should urgently embrace AI with a holistic strategy driven by maximum Atmanirbhar efforts," Ambani said. He stressed that Jio remains committed to democratising AI and offering powerful AI models and services to Indians at affordable prices. "Towards this end, we are laying the groundwork for a national AI infrastructure," he emphasised. Ambani noted that India needs to accelerate talent generation on a scale necessary to make the country a global leader in AI. Addressing the concern over how AI might affect the job market, he remarked that some existing jobs will evolve while many new and exciting opportunities for employment and entrepreneurship "will be created rapidly, just like during the adoption of the computer and the internet." Additionally, Ambani urged the government to expedite the draft of the 2020 data centre policy. "Indian data should remain in Indian data centres. Therefore, Indian companies ready to set up AI and machine learning data centres should receive all necessary incentives, including incentives for power consumption," he added. Satcom debate Bharti Airtel has called on the government to ensure that all potential satellite communication providers operate under the telecom operator framework. Drawing the Prime Minister's attention to the ongoing global debate on how fast-growing satellite communication services can coexist with terrestrial networks, Mittal highlighted that telecom companies worldwide have played a crucial role in connecting the globe. Referring to Indian telcos, he noted that they would extend satellite services to the remotest parts of the country. However, Mittal stressed that satellite companies aiming to serve "elite, retail customers" in urban areas must take a telecom licence like everyone else. His comments appear directed at foreign entities such as Starlink and Project Kuiper, which are seeking entry into the Indian market and whose applications are currently being reviewed by the government. "They must adhere to the same conditions, including buying spectrum like telecom companies, paying the licence fees, and securing their networks. This is a simple solution that can be adopted on a global scale, and India can lead the way," Mittal said. The government is currently in the process of opening up satellite communication services and has already granted GMPCS licences to Bharti Group-backed Eutelsat OneWeb and Reliance Jio’s satellite arm, Jio Space Limited. However, applications from foreign entities have faced hurdles due to technicalities and security concerns. Starlink is the satellite internet constellation operated by SpaceX, the American spacecraft manufacturer and satellite communications company owned by US tech billionaire Elon Musk. Project Kuiper, a subsidiary of Amazon, was established in 2019 to deploy a large satellite internet constellation to provide low-latency broadband connectivity. First Published: Oct 15 2024 | 12:41 PM IST