#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.

[blockchainroom]

[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/

[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

[eaglehealthcare123]

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[techviewindustry]

Proposal Management Software Market Landscape: Mapping the Competitive Terrain and Market Share

The recently released Fortune Business Insights research on the Global Proposal Management Software Market survey report provides facts and statistics regarding market structure and size. Global Proposal Management Software Market Size 2025 Research report presents an in-depth analysis of the Global Market size, growth, share, segments, manufacturers, and forecast, competition landscape and growth opportunity. The research’s goal is to provide market data and strategic insights to help decision-makers make educated investment decisions while also identifying potential gaps and development possibilities.

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Companies Profiled in the Global Proposal Management Software Market:

QorusDocs Ltd. (U.S.)

Xait (Norway)

Conga Inc. (U.S.)

Icertis Solutions Pvt. Ltd. (U.S.)

Deltek Inc. (U.S.)

GetAccept Inc. (U.S.)

Sofon B.V. (Netherlands)

Nusii Proposal S.L. (Spain)

PandaDoc Inc. (Poland)

Salesforce, Inc. (U.S.)

Surging Investments in Tech and Automation to Improve Proposal Quality to Drive Market Growth

An increase in Request for Proposals (RFP) competition is expected to boost the demand for personalized content proposals in the coming years. Surging investments in tech and automation to improve activities and proposal quality are propelling the proposal management software market growth. The increasing need for proposal management software among businesses to customize proposals is driving market expansion. Companies are concentrating on automation and increasing their workforce to pave the way for success.

However, market growth is restrained by difficulties in integrating AI for users of proposal management software.

What exactly is included in the Report?

– Industry Trends and Developments: In this section, the authors of the research discuss the significant trends and developments that are occurring in the Proposal Management Software Market place, as well as their expected impact on the overall growth.

– Analysis of the industry’s size and forecast: The industry analysts have provided information on the size of the industry from both a value and volume standpoint, including historical, present and projected figures.

– Future Prospects: In this portion of the study market participants are presented with information about the prospects that the Proposal Management Software Market is likely to supply them with.

– The Competitive Landscape: This section of the study sheds light on the competitive landscape of the Proposal Management Software Market by examining the important strategies implemented by vendors to strengthen their position in the global market.

– Study on Industry Segmentation: This section of the study contains a detailed overview of the important Proposal Management Software Market segments, which include product type, application, and vertical, among others.

– In-Depth Regional Analysis: Vendors are provided with in-depth information about high-growth regions and their particular countries, allowing them to place their money in more profitable areas.

This Report Answers the Following Questions:

What are the Proposal Management Software Market growth drivers, hindrances, and dynamics?

Which companies would lead the market by generating the largest revenue?

How will the companies surge the processes adoption amid the COVID-19 pandemic?

Which region and segment would dominate the Proposal Management Software Market in the coming years?

Proposal Management Software Market Segments:

By Deployment

Cloud

On-premises

By Enterprise Type

Small and Mid-sized Enterprises (SMEs)

Large Enterprises

By Industry

BFSI

IT & Telecom

Retail and E-commerce

Healthcare

Education

Government

Manufacturing

Others (Media and Entertainment)

Table Of Content:

1. Introduction 1.1. Research Scope 1.2. Market Segmentation 1.3. Research Methodology 1.4. Definitions and Assumptions

2. Executive Summary

3. Market Dynamics 3.1. Market Drivers 3.2. Market Restraints 3.3. Market Opportunities

4. Key Insights 4.1 Global Statistics — Key Countries 4.2 New Product Launches 4.3 Pipeline Analysis 4.4 Regulatory Scenario — Key Countries 4.5 Recent Industry Developments — Partnerships, Mergers & Acquisitions

5. Global Proposal Management Software Market Analysis, Insights and Forecast 5.1. Key Findings/ Summary 5.2. Market Analysis — By Product Type 5.3. Market Analysis — By Distribution Channel 5.4. Market Analysis — By Countries/Sub-regions

……………

11. Competitive Analysis 11.1. Key Industry Developments 11.2. Global Market Share Analysis 11.3. Competition Dashboard 11.4. Comparative Analysis — Major Players

12. Company Profiles

12.1 Overview 12.2 Products & Services 12.3 SWOT Analysis 12.4 Recent developments 12.5 Major Investments 12.6 Regional Market Size and Demand

13. Strategic Recommendations

TOC Continued……………….

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How a Tower Management Platform Streamlines Lease Management and Tenant Operations

In the telecom industry, managing leases and tenant operations is a multifaceted challenge that requires precision, transparency, and efficiency. Telecom towers are critical infrastructure, enabling the networks that power global communication and connectivity. However, the relationship between tenants (carriers) and landlords (TowerCos) involves navigating a complex web of operational demands, property interests, and financial goals.

1. Simplifying Lease Negotiations and Agreements

Lease negotiations are often fraught with complexity, involving discussions around rates, infrastructure-sharing agreements, and ancillary costs such as maintenance fees, property taxes, and insurance. A Tower Management Platform streamlines this process by:

Providing Transparent Cost Management: Tenants gain a clear breakdown of all associated costs, reducing the potential for disputes.

Enabling Data-Driven Negotiations: Historical data and analytics support the creation of fair and competitive lease terms.

Facilitating Infrastructure Sharing: The platform tracks shared resources, ensuring optimal utilization and equitable cost-sharing among carriers.

By promoting transparency and data-backed decision-making, TowerCos can achieve balanced agreements that align with the interests of both parties.

2. Centralizing Lease and Payment Tracking

Effective lease management is essential for maintaining profitability and operational efficiency. A Tower Management Platform offers centralized control by:

Maintaining a Repository of Lease Agreements: All contracts are stored in a single, accessible location, ensuring terms are adhered to and renewals are managed proactively.

Automating Payment Monitoring: The platform tracks payment schedules, sends reminders, and flags late payments to prevent revenue leakage.

Identifying Risks Early: Potential issues, such as expiring leases or non-compliance, are detected and addressed before they escalate.

This proactive approach minimizes disruptions and safeguards revenue streams.

3. Optimizing Asset Utilization in Real Time

Efficient use of tower assets is critical for managing operational costs, particularly given the significant capital expenditure involved in telecom infrastructure. A Tower Management Platform provides real-time insights into:

Asset Allocation: Tracking how tower space is utilized by various tenants to ensure maximum efficiency.

Unauthorized Usage: Detecting unapproved equipment installations or space usage to maintain compliance.

Capacity Planning: Analyzing usage trends to support long-term strategic planning and resource allocation.

These capabilities not only enhance asset utilization but also create opportunities for additional revenue generation.

4. Enhancing Collaboration Between TowerCos and Tenants

A successful partnership between TowerCos and tenants relies on mutual understanding and alignment of priorities. While tenants focus on managing operational costs, TowerCos aim to optimize revenue and efficiency. A Tower Management Platform fosters collaboration by:

Enabling Transparent Communication: Tenants can access real-time data on billing, asset usage, and maintenance, ensuring clarity and trust.

Streamlining Issue Resolution: The platform tracks and resolves tenant concerns efficiently, minimizing downtime and disputes.

Aligning Objectives: By addressing shared challenges, both parties can achieve mutually beneficial outcomes.

This collaborative approach strengthens relationships and supports long-term partnerships.

5. Leveraging Advanced Tools for Operational Efficiency

Modern Tower Management Platforms integrate cutting-edge technologies such as IoT, visual AI and machine learning to enhance operational efficiency. These tools enable:

Real-Time Monitoring: Instant identification of equipment changes and tower status updates.

Automated Reporting: Reducing administrative burdens and ensuring compliance with lease agreements.

Transparent Billing: Preventing disputes by providing clear and accurate cost breakdowns.

By automating manual processes and reducing inefficiencies, TowerCos can focus on strategic growth and innovation.

6. Driving Profitability and Scalability

In a competitive telecom landscape, profitability depends on minimizing downtime, preventing revenue leakage, and optimizing resource utilization. A Tower Management Platform supports these objectives by:

Maximizing Asset Utilization: Ensuring tower space is fully leveraged to generate revenue.

Preventing Inefficiencies: Reducing disputes, equipment downtime, and unbilled assets.

Unlocking Revenue Potential: Identifying underutilized spaces and opportunities for additional income streams.

With robust financial tracking and analytics, TowerCos can scale their operations effectively while maintaining profitability.

Conclusion: A Strategic Imperative for TowerCos

As telecom carriers increasingly adopt infrastructure-sharing agreements to manage costs, and TowerCos prioritize operational efficiency, a Tower Management Platform has become an indispensable tool. By centralizing lease management, enhancing tenant collaboration, and leveraging advanced technologies, these platforms streamline operations and deliver value to all stakeholders.

For TowerCos navigating the complexities of lease management and tenant operations, investing in a Tower Management Platform is not merely an option — it is a strategic necessity for sustained success in the evolving telecom industry.