#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.

[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.

[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.

[aionlinemoney]

Reliance Industry launching Jio AI Cloud Welcome offer upto 100 GB Free Storage

Jio, a part of the Reliance Industry and a major telecom company in India, has been a main player in the change of the country’s digital transformation for the past many years. Jio is Known for its innovative digital services, Jio has significantly changed the market with a range of offerings in telecom services. The latest addition to its lineup is Jio AI Cloud, a modern cloud platform, aimed at businesses, developers, and individual users. In this article, we will discuss what Jio AI Cloud is, its offers, launch details, and how it benefits users by providing secure storage and easy access to digital content such as photos, videos, documents, and other data.

What is Jio AI cloud?

This is a cloud platform by Reliance industry that comes with built in artificial intelligence features to store your data secure and access it anywhere. It provides secure, and affordable cloud solutions for businesses and individuals, making it easy to store, manage, and analyze data. With this users can access powerful AI tools that enable smarter data management, better storage efficiency, and enhanced digital experiences. Whether for startups, large companies, or individual users, Jio AI Cloud offers reliable solutions for cloud storage with the added advantage of AI technology.

When will Jio AI cloud offer will launch :

Reliance industry is preparing for the launch Jio AI cloud  welcome offer and it is expected to be introduced in the market this Diwali. Reliance’s chairman Mukesh Ambani will launch Jio AI cloud with a welcome offer upto 100 GB free cloud storage for Jio users. The users are awaiting and excited for it. Also Reliance industry has introduced AI innovative technologies called Jio Brain and the Reliance industry is also planning to establish Giga byte scale ready AI data center in Jamnagar, Gujarat.

Benefits of Jio AI Cloud for Secure Storage and Access to Digital Content :

Jio Cloud provides free cloud storage and easily store and access your data, such as photos, videos, documents, and more.Here are some key benefits that make it a great choice:

Highly Secure Cloud Storage:

Jio AI Cloud organizes security by using advanced multi-layered security measures to protect user data from unauthorized access and cyber threats. With end-to-end encryption and strong authentication, users can trust that their photos, videos, documents, and other digital content are securely stored the data into their data centers. Reliance’s chairman Mukesh Ambani has told in the 47th annual general meeting of Reliance industry.

Backup and Real-time Syncing :

Jio AI Cloud offers automatic backups and real-time syncing of digital content across devices. This ensures that important photos, videos, documents, and other data are never lost, even if a device is lost or damaged. Real-time syncing ensures that any updates to a file on one device are immediately updated on all connected devices.

Enhanced Access and Sharing Options :

Jio AI Cloud allows users to access their digital content from any device, anywhere, as long as they have an internet connection. The platform also provides easy sharing options, enabling users to create secure links for sharing photos, videos, and documents. This makes it simple and convenient to collaborate with colleagues, friends, and family.

Cost Effective Storage plans :

Jio AI Cloud is likely to provide flexible pricing options, including a pay-as-you-go plan where users pay only for the resources they use. This is especially useful for individuals and businesses looking to control costs while enjoying advanced cloud services.

Conclusions :

Jio AI Cloud represents a major growth in cloud storage in India. Reliance is set to launch a Diwali offer of 100GB free cloud storage, this platform is expected to attract a diverse range of users, from individuals needing secure storage for personal data to businesses seeking scalable, AI-enhanced cloud solutions. With its advanced AI features, robust security, seamless integration with other Jio services, and competitive pricing, Jio AI Cloud is controlled to be a strong competitor in the cloud services industry. As Reliance industry continues to expand its digital innovations, the Jio AI Cloud could significantly change how digital content is stored, managed, and accessed in India.

[infinitemonkeytheory]

Voters in New Hampshire were treated in January to a call purporting to be from President Biden telling them not to vote in the primary. After a brief but intense investigation, the perpetrator has been revealed to be Life Corporation, a Texas-based company that has been caught slinging disinformation before.

[…]

Investigators traced the calls to a shady telecoms provider called Lingo, which has also gone by Americatel, BullsEyeComm, Clear Choice Communications, Excel Telecommunications, Impact Telecom, Matrix Business Technologies, Startec Global Communications, Trinsic Communications and VarTec Telecom. The FCC notes that the company (whatever its name really is) has been doing illegal call operations for years.

Lingo, however, was only doing the transmission of the calls on behalf of Life Corporation, a Texas company owned by one Walter Monk and also no stranger to illegal activity. The FCC notes that it cited Life and Monk in 2003 “for delivering apparently illegal prerecorded and unsolicited advertisements to residential lines.”

[kenresearchreport]

Decoding Cybersecurity: Unveiling the Future of US Digital Forensics Excellence

What is the Size of US Digital forensics Industry?

US Digital forensics Market is expected to grow at a CAGR of ~% between 2022-2028 and is expected to reach ~USD Mn by 2028.

Escalating cyberattacks targeting individuals, organizations, and critical infrastructure underscore the need for robust digital forensics capabilities. The increasing frequency and sophistication of these attacks drive the demand for advanced tools and expertise to investigate and respond effectively.

Rapid technological advancements, including IoT, cloud computing, AI, and blockchain, introduce new avenues for cyber threats. Digital forensics services are crucial to understanding these emerging technologies' vulnerabilities and mitigating associated risks.

Furthermore, stricter data protection regulations and compliance mandates necessitate thorough digital evidence collection, preservation, and analysis.

Organizations across industries has invested in digital forensics to ensure adherence to legal requirements and regulatory frameworks.

Additionally Legal proceedings increasingly rely on digital evidence. Law enforcement, legal firms, and corporations require robust digital forensics services to gather, analyze, and present evidence in a court of law, driving market expansion.

Us Digital Forensics Market By Type

The US Digital forensics market is segmented by Computer Forensics, Network Forensics, Mobile Device forensics and Cloud forensics. Based on type, Computer Forensics type segment is emerged as the dominant segment in US Digital forensics market in 2022.

Computers are ubiquitous in modern society, utilized across industries, organizations, and households. As a result, a significant portion of digital evidence related to cybercrimes and incidents is generated from computer systems, driving the demand for specialized computer forensics expertise. Computers and their software environments evolve rapidly.

Us Digital Forensics Market By End User Application

US Digital forensics market is segmented by Government and Defence, BFSI, Telecom and IT, Retail, Healthcare and Other Government and Defence market is dominant in end user application segment in Digital forensics market in 2022.

Government and defense agencies handle highly sensitive information related to national security and intelligence. The increasing sophistication of cyber threats targeting these entities necessitates robust digital forensics capabilities to investigate and respond to cyber incidents effectively.

Government and defense entities are prime targets for cyberattacks due to their critical roles. Effective incident response through digital forensics helps in containing and mitigating cyber incidents swiftly, minimizing damage and preventing further breaches.

US Digital forensics by Region

The US Digital forensics market is segmented by Region into North, East, West, South.  In 2022, the dominance region is East region in US Digital forensics market.

The East region has a dense population and a well-established digital infrastructure, making it a hotspot for cybercriminal activity. The higher frequency of cyber threats and incidents necessitates a strong emphasis on digital forensics to investigate and mitigate these risks effectively. Additionally, the East region often sees a proactive approach from regulatory and legal bodies, reinforcing the demand for digital forensics services to ensure compliance and assist in investigations. The proximity of key players in law enforcement, government agencies, legal firms, and corporate headquarters further fuels the need for robust digital forensics capabilities.

Download a Sample Report of US digital forensics Solution Market

Competition Scenario in US Digital forensics Market

The US digital forensics market is characterized by a competitive landscape with several key players competing for market share. Prominent companies offering a range of digital forensics solutions and services contribute to the market's dynamism.

The competitive landscape also includes smaller, specialized firms and start-ups that focus on niche areas of digital forensics, such as cloud forensics, memory forensics, and industrial control systems forensics.

The competition is further intensified by the continuous evolution of technology, leading to the emergence of new players and innovative solutions. As the demand for digital forensics continues to grow, companies in this market are likely to invest in research and development to stay ahead of the curve, leading to a consistently competitive environment.

What is the Expected Future Outlook for the Overall US Digital forensics Market?

Download a Custom Report of US digital forensics market Growth

The US Digital forensics market was valued at USD ~Million in 2022 and is anticipated to reach USD ~ Million by the end of 2028, witnessing a CAGR of ~% during the forecast period 2022- 2028.

The US digital forensics market is poised for robust expansion due to the ever-evolving cybersecurity landscape, technological advancements, and regulatory pressures. Organizations across industries will increasingly recognize the necessity of investing in digital forensics to safeguard their digital assets and ensure compliance.

 As long as cyber threats continue to evolve, the demand for sophisticated digital forensic tools, services, and expertise will remain on an upward trajectory.

The US digital forensics market appears promising, characterized by a confluence of technological advancements, increasing cyber threats, and growing legal and regulatory requirements. As technology continues to evolve rapidly, so does the nature of cybercrimes, creating a persistent demand for digital forensics solutions and services.

Additionally, the escalating frequency and complexity of cyberattacks. As more critical operations and personal information are digitized, the potential attack surface expands, leading to a higher likelihood of security breaches. This dynamic compels organizations and law enforcement agencies to enhance their digital forensic capabilities to investigate, mitigate, and prevent cyber incidents effectively.

Furthermore, the rise of emerging technologies like the Internet of Things (IoT), artificial intelligence (AI), and blockchain presents both opportunities and challenges. These technologies bring new possibilities for efficiency and connectivity but also introduce novel avenues for cyber threats. Consequently, the demand for digital forensics services is expected to surge as organizations seek expertise in unraveling incidents involving these cutting-edge technologies.

The market is also likely to see increased adoption of cloud-based digital forensics solutions. As more data is stored and processed in the cloud, digital forensic providers will need to develop tools and methodologies to effectively gather evidence from virtual environments, remote servers, and distributed systems.

[arcobalengo]

Muore oggi Roberto Colaninno, il più importante "capitano coraggioso" dei ruggenti anni novanta. Quando si affacciò una nuova classe imprenditoriale che oggi non esiteremmo a chiamare di "robben barons" per dirla all'americana: baroni ladri, speculatori, spoliatori del patrimonio pubblico.

Patrimonio Pubblico svenduto per un piatto di lenticchie da quelli che allora ineguamente consideravamo la crema dei civil servant dello stato italiano: Carlo Azeglio Ciampi, Romano Prodi e Massimo D'Alema.

Colaninno, guidò una cordata di imprenditori all'assalto della Telecom Italia, società leader ad alta redditività, senza debiti: la migliore Tlc company europea sicuramente. La acquistatono attraverso un "veicolo" (così le chiamavano all'ora) società con capitale irrisorio, la Tecnimont; troppo se questa società aveva una linea telefonica e una segretaria. Fatto sta che con i soldi a prestito di un pool di banche guidate da Mediobanche riuscì nell'impresa dell'acquisto. L'inghippò si capì dopo; Colaninno fuse la Tecnimont carica di debiti nella TIM società gioiello della Telecom Italia. In parole semplici con la fusione il risultato era che la TIM pagava l'acquisto della società madre Telecom Italia alla società acquirente e superindebitata Tecnimont. Loro assieme ai giornali compiacenti chiamarono l'operazione Leverage buyout: gli allocchi come ero io ci credettero al volo. Il Financial Times in una Lex Column dell'epoca definì l'operazione per quello che era, letteralmente "Una rapina in pieno giorno". La Telecom da quel giorno era una società zombificata. Tutte cose avvenuto sotto il buon governo ciampian prodian d'alemiano. La Crema. Il Meglio.

Se Berlusconi avesse fatto una operazione del genere, il pool di Milano avrebbe mandato una divisione corazzata a prenderlo. Non aggiungo altro. Se non quello di constatare quanto potevo essere stupido io a credere ad una simile masnada di banditi politici.

Poi arrivò Tronchetti Proverà che rilevò da Colaninno e amici che così uscirono dalla storia carichi di banconote senza aver mai rischiato nulla. La Rapina del Secolo.

A conclusione aggiungo che Colaninno ci ha fatto anche lo sfregio di candidare il figlio scemo (o troppo signore, tanto il lavoro sporco l'ha fatto il padre) nel PD mettendecelo a carico - da parlamentare - per una ventina d'anni. E noi, idioti, lo abbiamo votato.

Un capolavoro, Chapeau Ragionier Colaninno.

Giuseppe Masala

[eurekadiario]

“En cinco años no habrá programadores humanos”, afirma una eminencia de la IA

“Dentro de cinco años no habrá programadores humanos”. Son las palabras del CEO de Stability AI, uno de los tres desarrolladores de inteligencia artificial más importantes del mundo que, según él, es además el mayor desarrollador de software abierto y cuenta con la mayor legión de programadores independientes del planeta. Los programadores están creando el monstruo que terminará devorándoles.

Adiós a los programadores

Moustaque habló sobre esta predicción en una reciente entrevista del podcast Moonshots and Mindsets. Como demostración, apunta a que los datos de GitHub —un repositorio de proyectos de código abierto que incluyen los programas de Stability AI, como Stable Diffusion— revelan que "el 41% de todo el código en este momento es generado por IA". En estos momentos, este código no es ni mucho menos tan bueno como el de un buen programador, pero se acerca, automatizando muchas tareas de forma eficiente. Según Moustaque, la IA está avanzando a un ritmo tan rápido que pronto superará la capacidad humana en la programación: "La IA será capaz de escribir código mejor que los humanos" y "no habrá necesidad de programadores humanos".

La visión de Moustaque no es nueva. Es parte de una tendencia más amplia en la que la IA está reemplazando cada vez más trabajos humanos. Como ya publicamos en su moment, Ben Goertzel, uno de los mayores expertos en inteligencia artificial del mundo, afirma que la IA podría eliminar hasta el 80% de todos los empleos, especialmente aquellos que involucran tareas de papeleo, algo en lo que coinciden las grandes empresas de análisis y financieras, como Goldman Sachs.

De hecho, la sangría ya ha comenzado. IBM anunció recientemente uno de los mayores recortes de empleo en favor de la IA. Arvind Krishna, director general de IBM, mencionó en una entrevista que la compañía suspenderá la contratación en puestos de trabajo que pueden ser sustituidos por la IA, afectando a unos 26.000 trabajadores. Krishna es algo más conservador que Moustaque o Goldman Sachs: "Podría ver fácilmente un 30 por ciento de ellos siendo sustituidos por inteligencias artificiales y automatización en un periodo de cinco años".

British Telecom (BT) se unió a la ola de despidos anunciando que suprimirá hasta 55,000 puestos de trabajo antes del final de esta década, de los cuales 11,000 serán reemplazados por tecnologías como la IA. Philip Jansen, Director General de BT, dijo en ese momento que "siempre que aparecen nuevas tecnologías pueden producirse grandes cambios".

Optimismo a pesar de todo

Un estudio realizado por ingenieros de OpenAI —otra de las grandes de la IA— señala que el 50% de las tareas que se realizan en el 19% de los trabajos ya se pueden llevar a cabo con IA. Las profesiones más afectadas incluyen matemáticos, contables, analistas financieros, periodistas, secretarios jurídicos, diseñadores de interfaz de usuario, traductores, analistas demoscópicos, relaciones públicas e ingenieros de blockchain.

Pero Moustaque es, en el fondo, optimista. Cree que podemos usar la IA para construir una sociedad mejor. Está convencido de que seremos capaces de resolver estos problemas y otros que los humanos no pueden resolver, incluyendo algunos de los mayores desafíos de la humanidad, como el cáncer, la desigualdad o el cambio climático.

Fuente: http://www.elconfidencial.com/

[deepyanti]

Blogs to read before the end of the year 2022

Understand the complete functionality of Engati’s chatbot Understand the complete functionality of Engati’s intelligent chatbots. How does an Engati chatbot work? What’s going on behind the scenes? Find out here!

5 Ways chatbots help in conversion strategy Learn how to incorporate chatbots in your conversion strategy. Leverage Artificial Intelligence powered chatbots to drive conversions. Check it out and share .

How are intelligent chatbots eliminating human intervention? Chatbots are automating repetitive query resolution. This means that humans don’t need to intervene there, they only get involved to handle complex queries.

8 ways chatbots in banking can improve customer engagement AMEX, JP Morgan & 100 others have deployed banking chatbots that give customers financial advice on how to invest, provide info on nearest ATM, account balance

How can chatbots boost sales by atleast 77%? Consumers are increasingly showing their trust towards website chatbots for boosting sales. See how this behaviour contributes towards business sales.

5 tactics for localizing customer engagements Get your customers to accept you as one of them, rather than treating you as an outsider. Localize your customer engagements with these 4 tactics today!

11 ways eCommerce chatbots can boost sales & lead generation!  eCommerce Chatbots are making online shopping easier than ever before. They help customers buy products & make payments without opening your website or app

How are intelligent healthcare chatbots being used? [2023] Chatbots provide instead information, book appointments and even play a major role in the fight against COVID-19. See how bots are revolutionizing healthcare!

How to generate leads with chatbots and live chat? Learn how to build a lead generation funnel with chatbots and live chat. You’ll also get insights on how to use them to nurture your leads and drive sales. 

How to use Chatbots for Marketing in 2023? See how mountain dew increased engagement by 572%, using chatbot marketing and learn how you can integrate chatbots for digital marketing strategies.

You should know this about Real Estate Chatbots by now(2023) Rule-based or AI-automated chatbots programmed to engage customers for real estate agencies. Chatbots are virtual agents that save time and grow sales.

Recruitment chatbots: Can they solve your hiring problems? Recruitment Chatbots handle routine recruitment functions, allowing you to focus on higher-level tasks. Here’s how they can scale up your recruitment processes 

3 ways chatbots are transforming the telecom industry Chatbots in telecom helps create a situation where customers feel like they are communicating with another human to reduce the overall operational costs.

7 ways travel chatbots enhance the traveler’s experience Chatbots in the travel industry automate travel-related tasks like flight bookings, hotel bookings, recommendations to being a virtual tour guide, and much more

6 powerful reasons to integrate Google Analytics with your chatbot Want to track user journeys, understand your users, and use data to improve your customer experience? Integrate Google Analytics with your Engati chatbot now!

How to Use Chatbots as Part of an Integrated Marketing Campaign Conversational eCommerce demands the use of chatbots in this modern age of running Integrated Marketing Campaigns. Keep reading to learn more on this topic.

9 innovative ways to use chatbots in your personal life Organizations all over the world are using chatbots all the time- from businesses to government bodies. Here’s how you can use a chatbot in your personal life!

7 reasons why small businesses need an intelligent chatbot Chatbots have revolutionized customer service by making it faster, cheaper, and more efficient and are a necessity for small and medium level businesses.

Will sports & chatbots become the perfect combination? Sports and Chatbots? From selling tickets to sharing highlight clips; there’s a lot of ways the sports industry could benefit from using chatbots. Read more.

How to choose the right platform for your online store? From the business idea to putting the idea into motion, you will need a solid understanding of how online shops operate. This article will show you how.

C2E bridge — Bridging Cloud to your Enterprise with Engati How can highly-regulated industries, like Telecom and Insurance, reap the benefits of Cloud while meeting regulatory requirements? Enter Engati’s C2E Bridge.

Overcoming the challenges of computational linguistics Thomas Wolf, the Co-Founder & Chief Scientist from Hugging Face, joins us on Engati CX to discuss the challenges of computational linguistics and how to overcom

[abigailnussbaum]

I've been noticing this too, and it feels like the most insidious tool in the AI industry's efforts to convince us that their product - which is prohibitively expensive, legally dubious, and objectively does not work - is "inevitable". It probably helps that it really does seem to be an organic phenomenon - non-AI tech company CEOs, having been incepted into the idea that this technology is the future, are rushing to slap it on their products for fear of being left behind. So, inasmuch as "AI" as it's being used today has a concrete meaning - a large language model used for text or image generation in response to natural language queries - it's now being applied to any kind of algorithmic tool, whether preexisting or new, in the misguided belief that this makes it sound more sophisticated.

For an example that I've witnessed close-hand, my company's VP of R&D recently announced, in an all-hands state of the company talk, that we were looking into incorporating AI into our product. Which raised a lot of eyebrows among us engineers, since our products are high speed network routers that we sell to telecoms and other internet service providers. Not only do they have no use for text or image generation, you can't assume that they'd have access to a service like ChatGPT (just because a device passes network traffic doesn't mean it has access to the open internet; your home wifi router doesn't necessarily have the ability to surf the web). Not to mention that our customers might have a problem with us passing their customer data to a third-party server. And since these are all firmware-based devices, we don't have the spare memory or computing capabilities to run our own LLM engine on each device.

Turns out he was talking about some kind of fancy algorithm to evaluate network load and adjust capacity dynamically. Currently we offer fairly sophisticated tools that allow customers to designate specific bandwidth channels for each of their customers, and prioritize different types of traffic (for example, if you're a telecom, voice traffic is always prioritized over data traffic, because a dropped packet in voice registers in a way that a dropped data packet doesn't). But this all has to be configured ahead of time, and the idea with this new tool is to be able to analyze the traffic in real time and respond to it without operator input. It sounds really neat, and I wouldn't be surprised if there's a machine learning component to it, but it's not what AI as the term is currently being used actually means. It's honestly a bit sad to me that if we actually get this kind of genuinely exciting, innovative tool off the ground, we'll have to slap the name of an environmentally wasteful plagiarism engine on it to get customers interested.

(There's also been some talk about using AI in coding. Apparently there's a team working on tools for that, though they haven't presented them to us yet. Personally, I'm dubious. Most of my work involves plugging into preexisting code, some of it decades old. It requires understanding systems, and the coding part is actually the smallest aspect of it. And yes, when I've developed features from scratch, there's a degree of repetition that a text generator might be able to help with - but as it happens, I already have tools that do some of that work, generating, for example, the code for new user commands from a definition document. But those tools are called compilers - the actual definition of "compiler" is any program that translates from one machine language to another - and I don't see how an AI tool to do similar work would save me that much time.)

Latest tech pet peeve is the use of the term "AI" to refer to basically anything that does any amount of automation or uses computers in any way

[govindtbrc]

Network Analyzers Market: Precision Testing Tools for Evolving Communication Networks up to 2033

Market Definition The Network Analyzers Market involves devices and software solutions designed to test, measure, and analyze the performance of various types of networks. These analyzers are critical for ensuring the integrity and reliability of network systems, from telecommunications infrastructure to complex enterprise IT setups. Network analyzers are utilized to assess parameters such as signal quality, frequency response, and overall network stability, making them indispensable in sectors like telecommunications, defense, automotive, and manufacturing.

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The network analyzers market is anticipated to expand from $3.2 billion in 2023 to $5.4 billion by 2033, reflecting a CAGR of approximately 5.2%.

Market Outlook The global Network Analyzers Market is set for significant growth, driven by the increasing complexity of network infrastructures, the rapid deployment of 5G networks, and the expanding Internet of Things (IoT) ecosystem. As businesses and telecom operators continue to invest in advanced networks, the demand for efficient network testing and optimization tools is on the rise. The adoption of software-defined networking (SDN) and network function virtualization (NFV) is further pushing the need for advanced analyzers that can keep up with dynamic and virtualized environments.

Telecommunication companies are heavily investing in network analyzers to support the rollout of 5G technology. These analyzers are critical for testing and maintaining the high-speed, low-latency networks required for applications such as autonomous vehicles, augmented reality (AR), and smart cities. With the growing adoption of 5G, network analyzers are becoming essential tools for ensuring performance and minimizing downtime.

The rise of IoT has also expanded the scope of the Network Analyzers Market. As billions of connected devices generate massive amounts of data, organizations are seeking advanced monitoring and diagnostic solutions to ensure network efficiency. Network analyzers help in identifying potential issues before they become critical, thereby supporting seamless data flow and enhancing security. Furthermore, the increasing emphasis on network security has led to the development of analyzers with enhanced security features to detect and mitigate cyber threats.

Technological advancements in network analyzers are transforming the market. The integration of artificial intelligence (AI) and machine learning (ML) into these devices allows for predictive analytics and automated troubleshooting, making network maintenance more efficient and proactive. Portable and handheld network analyzers are gaining popularity, especially in field applications, due to their convenience and advanced features. These devices are crucial for on-site network testing, especially in industries like construction and utilities.

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Research Objectives

Estimates and forecast the overall market size for the total market, across product, service type, type, end-user, and region

Detailed information and key takeaways on qualitative and quantitative trends, dynamics, business framework, competitive landscape, and company profiling

Identify factors influencing market growth and challenges, opportunities, drivers and restraints

Identify factors that could limit company participation in identified international markets to help properly calibrate market share expectations and growth rates

Trace and evaluate key development strategies like acquisitions, product launches, mergers, collaborations, business expansions, agreements, partnerships, and R&D activities

Thoroughly analyze smaller market segments strategically, focusing on their potential, individual patterns of growth, and impact on the overall market

To thoroughly outline the competitive landscape within the market, including an assessment of business and corporate strategies, aimed at monitoring and dissecting competitive advancements.

Identify the primary market participants, based on their business objectives, regional footprint, product offerings, and strategic initiatives

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Market Segmentation

In 2023, the Network Analyzers Market exhibited a robust volume, reaching an estimated 320,000 units, with projections to ascend to 550,000 units by 2033. The spectrum analyzers segment dominates the market share, accounting for 45%, followed by vector network analyzers at 30%, and scalar network analyzers at 25%. This hierarchy is driven by the increasing demand for high-frequency testing in telecommunications and aerospace sectors. Key players such as Keysight Technologies, Rohde & Schwarz, and Anritsu Corporation maintain substantial market shares, leveraging advancements in 5G and IoT technologies to enhance product offerings and expand their market footprint.

The competitive landscape is shaped by these companies’ strategic innovations and acquisitions, with Keysight Technologies prioritizing 5G network solutions and Rohde & Schwarz investing in advanced measurement capabilities. Regulatory frameworks, particularly those governing telecommunications standards and spectrum allocations, significantly influence market dynamics. As the market progresses, a projected 15% increase in R&D expenditure by 2033 is anticipated, fostering innovation and addressing emerging technological challenges. Opportunities abound in the expansion of 5G networks and the integration of AI-driven analytics in network testing. Nonetheless, challenges such as stringent regulatory requirements and rapid technological shifts remain pertinent. The adoption of cloud-based network analysis solutions is expected to open new growth avenues, further solidifying the market’s positive trajectory.

Major Players

Anritsu Corporation

Rohde & Schwarz

Keysight Technologies

Teledyne LeCroy

VIAVI Solutions

Yokogawa Electric Corporation

EXFO Inc

Spirent Communications

LitePoint

Signal Hound

Ametek

GAO Tek

Advantest Corporation

Bird Technologies

Copper Mountain Technologies

Boonton Electronics

Anapico

Siglent Technologies

National Instruments

B&K Precision

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Research Scope

Scope – Highlights, Trends, Insights. Attractiveness, Forecast

Market Sizing – Product Type, End User, Offering Type, Technology, Region, Country, Others

Market Dynamics – Market Segmentation, Demand and Supply, Bargaining Power of Buyers and Sellers, Drivers, Restraints, Opportunities, Threat Analysis, Impact Analysis, Porters 5 Forces, Ansoff Analysis, Supply Chain

Business Framework – Case Studies, Regulatory Landscape, Pricing, Policies and Regulations, New Product Launches. M&As, Recent Developments

Competitive Landscape – Market Share Analysis, Market Leaders, Emerging Players, Vendor Benchmarking, Developmental Strategy Benchmarking, PESTLE Analysis, Value Chain Analysis

Company Profiles – Overview, Business Segments, Business Performance, Product Offering, Key Developmental Strategies, SWOT Analysis

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10-year forecast to help you make strategic decisions

In-depth segmentation which can be customized as per your requirements

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About Global Insight Services:

Global Insight Services (GIS) is a leading multi-industry market research firm headquartered in Delaware, US. We are committed to providing our clients with highest quality data, analysis, and tools to meet all their market research needs. With GIS, you can be assured of the quality of the deliverables, robust & transparent research methodology, and superior service.

[digitalsolutionsfortelecos]

AI and BI in Customer Value Management Software: Driving Telecom Growth

Telecom operators generate massive amounts of customer data daily. However, without meaningful interpretation, this data often fails to drive value. The challenge lies in converting raw information into actionable insights to enhance customer engagement and revenue.

The combination of customer value management software with AI analytics for telcos offers a game-changing solution. These technologies enable operators to optimize customer interactions, predict behavior, and create highly personalized experiences. With real-time analysis and automation, businesses can make smarter decisions and ensure sustainable growth.

In this article, we will delve into how AI and BI analytics empower telecom providers to maximize customer value and achieve operational excellence.

How BI Analytics Enhances Customer Value Management?

BI analytics for telecom forms the backbone of effective customer value management strategies. Here's how:

Data Visualization and Dashboards: BI tools create intuitive dashboards, helping stakeholders identify trends and make informed decisions swiftly.

Real-Time Monitoring: Telecom providers can monitor customer interactions as they happen, enabling timely interventions.

Predictive Modeling: Advanced BI systems forecast customer churn, revenue trends, and service demands with high accuracy.

By integrating BI analytics for telecom into operations, companies gain a comprehensive view of customer behavior and operational performance.

The Role of AI in Customer Value Management Software

AI analytics for telcos takes customer value management to the next level by enabling automation and predictive insights. Here's how AI transforms CVM:

Intelligent Automation: AI automates repetitive tasks like data sorting, enabling teams to focus on strategic initiatives.

Sentiment Analysis: Analyzing customer sentiments through AI ensures businesses stay attuned to their customers' evolving needs.

Hyper-Personalization: AI identifies individual preferences, allowing telecom providers to create offers tailored to specific user needs.

Proactive Retention Strategies: Machine learning models predict churn risks, enabling timely and effective retention campaigns.

AI analytics for telcos ensures businesses can scale their efforts without compromising on personalization or efficiency.

How Data Analytics Powers CVM Software in Telecom?

The integration of data analytics in telecom industry within customer value management software bridges the gap between data and decision-making. This synergy empowers telecom providers in various ways:

Data Integration: Consolidating information from multiple sources creates a unified view of customer journeys.

Actionable Insights: Data analytics helps providers identify revenue leakage points and improve operational efficiency.

KPI Tracking: Telecom companies can track metrics like ARPU (average revenue per user) and service usage to fine-tune their offerings.

Such tools ensure businesses remain agile and capable of adapting to shifting customer preferences.

Five Core Areas Enhanced by AI and BI Analytics in Telecom

AI and BI analytics are reshaping multiple aspects of the telecom industry. Here are five key areas where they make the most impact:

Customer Behavior Prediction AI-powered models analyze historical data to predict future behaviors, enabling telecom providers to anticipate needs.

Dynamic Pricing Strategies With real-time insights, providers can adjust pricing to maximize revenue without alienating customers.

Marketing Campaign Optimization Campaigns designed using telecom advanced analytics solutions achieve better ROI by targeting the right audience segments.

Operational Efficiency Automation powered by AI streamlines network monitoring and maintenance, reducing downtime.

Enhanced Customer Support AI-driven chatbots and BI insights ensure faster resolutions and improved customer satisfaction.

Customer Insights for Growth with AI and BI

The integration of AI analytics for telcos and CVM software for telcos revolutionizes customer understanding. By transforming raw data into actionable insights, telecom providers can elevate customer relationships and maximize revenue opportunities. Here’s how these technologies drive growth:

Predicting Customer Needs with Proactive Engagement AI-powered tools help telecom operators anticipate customer needs and resolve issues before they occur. Real-time alerts and automated responses enable providers to enhance customer satisfaction while reducing churn.

Unlocking Precision with Market Segmentation Utilizing BI analytics for telecom, providers can segment customers by analyzing demographics, usage trends, and preferences. This enables personalized marketing campaigns, optimized service offerings, and tailored pricing strategies, ensuring maximum customer satisfaction.

Boosting Revenue with Predictive Models AI models within CVM software for telcos empower businesses to identify high-value customers and customize retention strategies. By predicting potential churn and identifying upselling opportunities, these tools enhance revenue streams effectively.

Delivering Personalized Experiences at Scale Telecom providers can leverage AI-driven insights to create hyper-personalized experiences. Whether it's custom offers or tailored service recommendations, customers receive solutions that align with their specific needs, fostering trust and loyalty.

Staying Relevant with Adaptive AI Solutions Advanced AI continuously learns from new data, ensuring that telecom operators remain prepared for evolving trends. This adaptability keeps offerings competitive and aligned with future demands.

The combined strength of customer value management software, AI analytics for telcos, and telecom advanced analytics solutions forms a robust ecosystem for customer-centric strategies. These technologies are pivotal for achieving sustainable growth in the telecom sector.

Conclusion

AI and BI analytics empower telecom providers to enhance customer engagement, optimize operations, and unlock new growth opportunities.

The integration of customer value management software with AI analytics for telcos is a powerful approach for telecom providers aiming to enhance customer engagement and operational efficiency. By leveraging BI analytics for telecom and data analytics in telecom industry, businesses gain the ability to predict customer behaviors, optimize services, and reduce churn effectively.

These tools empower telecom operators to unlock new revenue streams, deliver personalized experiences, and stay competitive. From dynamic pricing to predictive modeling, AI and BI analytics offer a comprehensive solution for managing customer value.For telecom operators aiming to harness the full potential of data-driven insights, 6D Technologies offers cutting-edge customer value management software and telecom advanced analytics solutions, which is renowned as Magik. This tool simplifies complex operations, enhances decision-making, and improves customer retention. Visit https://www.6dtechnologies.com/products-solutions/big-data-analytics/ to learn more and explore how these solutions can elevate your telecom business.