(PDF) A Literature Review on Application of Sentiment Analysis Using Machine Learning Techniques

2025 Wireless Trends: Government Initiatives, Network Slicing And More

Julie Song, President at Advanced RF Technologies (ADRF), responsible for overseeing all aspects of the company globally.

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As our reliance on technology continues to grow and shapes a more interconnected world, telecommunications remains at the forefront of progress and shows no signs of slowing down. Judging from this year's industry conferences showcasing future 5G innovations and pending changes in legislation and leadership, I expect the industry to show significant developments in 2025.

Telecom Initiatives Likely To Grow Under Republican-Led FCC

While already positioned for exponential growth, telecom is expected to undergo a significant transformation under Donald Trump and a Republican-led Federal Communications Commission (FCC).

This can be forecasted based on the writings of widely anticipated commissioner appointee, Brendan Carr, who previously outlined his policy priorities. In short, the FCC is expected to focus on key initiatives, including expanded spectrum access, streamlined infrastructure investment and reforms to the Universal Service Fund (USF). Programs addressing telecom security, such as Rip and Replace, may also see renewed momentum, further accelerating industry-wide changes.

Previously, Carr has criticized current broadband spending policies as well, arguing they risk wasting taxpayer dollars while leaving rural communities underserved. As a result, initiatives like the Affordable Connectivity Program (ACP) and Broadband Equity, Access and Deployment (BEAD) are expected to take center stage for their potential to bridge the digital divide, particularly for rural and unconnected Americans. With increased government support in these areas, original equipment manufacturers (OEMs) are likely to face heightened deployment demands.

These policy changes are expected to drive innovation and investment in wireless connectivity and broadband deployment through 2025 and over the course of the presidential term. In alignment with these efforts, the FCC's initiatives will build on its achievements from 2017 to 2020, when it secured significant progress in the U.S. For 5G advancements and set the stage for key developments like 5G network slicing.

The Gradual Rollout Of Network Slicing

Network slicing enables operators to create multiple virtual networks (or slices) on a single physical infrastructure, with each slice optimized for specific application needs like low latency or high bandwidth to ensure tailored performance for diverse use cases. Despite the expectations of widespread adoption for many years now, the full potential of network slicing has been slow to materialize, as many operators lacked the standalone capabilities, such as "true" 5G networks, required to support it at scale.

However, 2025 is expected to mark a turning point, with broader adoption of 5G network slicing as operators transition to standalone 5G (5G SA) networks. Unlike the initial 5G nationwide rollout, 5G SA uses a 5G core (as opposed to an LTE core), which unlocks more advanced capabilities like network slicing.

In the near term, network slicing will primarily be applied to critical areas such as public safety, live event broadcasting and low-latency services. For example, a priority slice could be dedicated to first responders, financial and/or mission-critical applications. Broadcasters could also benefit from a dedicated 5G layer to quickly transmit video from cameras to production teams during live events like sports.

Like most industry-evolving technologies, this idea was highly emphasized at the Mobile World Congress (MWC) in Las Vegas this year. The conference always serves as a crucial touchpoint where industry leaders predict the technologies and initiatives that will shape the wireless landscape in 2025 and beyond.

Small Enterprise, Big Wireless

Meeting the needs of enterprises of all sizes was also discussed this year at MWC. This shared commitment included the often-overlooked "smallprise" sector. While smaller enterprises may not face the same complex challenges as large-scale operations like extravagant hotels, casinos or warehouses, they are coming to recognize the importance of reliable wireless connectivity as a critical part of their infrastructure.

For example, schools are prioritizing connectivity for safety and communications, particularly during emergencies. Retailers are also tapping into wireless technologies to enhance the shopping experience—whether through smart carts, shoppers using their smartphones for purchasing decisions, or the seamless operation of checkout stations and inventory management systems.

Looking ahead to 2025, the wireless industry will place a strong emphasis on scalable and cost-effective wireless solutions that cater to the diverse demands of enterprises, driving both innovation and adoption in the smallprise segment. These solutions will help small businesses stay competitive and unlock new opportunities in an increasingly connected world.

Last year's industry conferences, coupled with the anticipated changes in legislation and leadership, signal significant growth in wireless. With key developments including efforts to bridge the digital divide for rural Americans, a broader rollout of network slicing for customized connectivity solutions and the introduction of scalable, cost-effective wireless options designed to meet the needs of smaller enterprises, we can expect a future of greater accessibility and innovation within the telecom sector.

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Why Do Telecom Operators Need High-quality Data For AI Integration?

The fast pace of emerging technology adoption is increasing pressure on telecom operators to meet demands and implement AI.

By: David Cottingham, CTO at IQGeo

The global AI market within the telecom sector is expected to reach $25 billion by the end of 2027, according to Valuates. But without high-quality network data, AI's potential will remain out of reach for many telecom operators.

According to a report by McKinsey, AI can have a huge impact on growth and disruption in the telecom sector. As a result, many telecom operators are choosing to adopt the technology because of their promise to enhance efficiency and customer experience.

David Cottingham, CTO at IQGeo

Without accurate, real-time network data, AI-driven automation and predictive insights will be unreliable—leading to costly errors and inefficiencies. To stay ahead, telecom operators need to prepare their data before kickstarting implementation. This will reduce any inaccuracies that could result in network failure or severe disruptions.

Why high-quality network data is the backbone of AI success

Accurate data about network asset locations, configurations, and physical connections are integral to both operational efficiency and technological developments. Therefore, inaccurate or incomplete network data results in operational inefficiencies. This leads to slow delivery service, wasted resources, and puts telecom operators behind their competition.

To stay ahead, telecom operators must have a reliable foundation of high-quality network asset data. They need to focus on strategies and technologies aimed at creating an accurate network model, including:

Maintaining network documentation: network documentation needs to reflect continuous updates and changes in the infrastructure, helping to keep track of the regular updates and expansions within the industry. This will reduce the inefficiencies mentioned above and keep the system changes tracked in real-time.

Asset management: this means accurately tracking the geospatial location and connectivity architecture of all assets within a network. As a result, each asset will be properly monitored and mapped.

Prioritizing integrated systems: this is about managing the fiber network lifecycle. Integrated systems create a single source of truth by consolidating data. This leads to more efficient network management and better decision-making.

 5 steps to prepare for AI implementation

Telecom operators should consider these five main factors when preparing for AI implementation:

Authorize a data quality auditThis is conducted to review the current state of network data and identify any factors that could impact telecom operators. Telecom operators can then make an assessment of how data flows through the network and flag any areas that need improvement. Future decision-making is then based on reliable, actionable information.

Make incremental improvementsTelecom operators should focus on incremental improvements to their network data quality, instead of choosing expensive, high-risk overhauls. This enables continuous improvements without interrupting ongoing operations, leading to greater control. This is more cost-effective and allows telecom operators to remain agile.

Integrate documentation systemsBy investing in integrated documentation systems, telecom operators can streamline their network management processes, moving away from heterogeneous spreadsheets and tools. This means that every aspect of the network is captured in a single source of truth, improving the accuracy of data and enhancing collaboration across teams.

Choose reliable technology partnersThis is crucial for the long-term success of network data management, as reliable partners provide the tools and expertise needed to manage high-quality network data. By choosing vendors with a proven track record, telecom operators can ensure that their network management system evolves with industry demands, ahead of competitors.

Practice rigorous data managementIn doing this, the accuracy and reliability of network data is guaranteed, because any changes in the network will be immediately reflected in real-time. Telecom operators can then maintain consistency, reduce errors, and ensure that the network's performance is accurately represented.

To stay competitive and maximize ROI, telecom operators must modernize their network management approach. Many established operators still rely on outdated GIS systems and siloed applications, which create inefficiencies and limit scalability. In contrast, operators who adopt integrated lifecycle management solutions are better positioned for long-term success.

A modernized network foundation is essential for leveraging AI's full potential. Replacing spreadsheets and CAD drawings with intelligent fiber network documentation software enables a streamlined, data-driven approach. Beyond efficiency, AI-powered analytics enhance network reliability through predictive maintenance, identifying potential fiber breaks before they occur. Real-time anomaly detection also improves service quality, ensuring a more resilient network and better customer experience.

The power of strategic vendor partnerships

Managing multiple vendors creates complexity and inefficiencies. Choosing a primary technology partner streamlines operations and ensures seamless integration.

Establishing strong partnerships with a select few key vendors allows long-term management and ensures that integral software components are integrated seamlessly. This will help deliver significant ROI by simplifying management.

Overall, by prioritizing a strong data foundation, telecom operators are setting themselves up for future success. With well-managed network data, telecom operators can fully enjoy the benefits of AI integration and leverage AI's potential, putting them ahead of competitors. Therefore, by making strategic investments in network data quality now, telecom operators are laying the groundwork for future technological progress and long-term growth.

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Dealmaking In The Tech, Media And Telecom Sectors Set To Accelerate

Dealmakers in the Technology, Media, and Telecommunications sectors (TMT) are entering 2025 with renewed optimism. This sector's pivotal role in the AI boom drives investment opportunities, according to recent PwC research. Easing macroeconomic and geopolitical challenges, particularly in the U.S., has also set the stage for a favorable mergers and acquisitions (M&A) environment.

PwC's Global M&A Industry Trends Report notes that the U.S. Administration's focus on deregulation is poised to support megadeals (transactions exceeding $5 billion) and boost executive confidence. Anticipated interest rate cuts by central banks should foster a more vibrant M&A landscape.

According to PwC's 28th Annual Global CEO Survey, 76% of TMT executives who made acquisitions in the past three years plan to pursue further deals within the next three years. This signals a strong strategic focus on media M&A for growth and innovation.

The evolving TMT landscape presents significant implications and opportunities for the media sector. These include:

1. AI as a growth driver

AI investments transform media content production, distribution, and audience engagement strategies. Premium media companies must harness AI to streamline workflows, deliver personalized content, and improve advertising efficiency.

2. Surge in media M&A activity

Media companies will likely pursue strategic acquisitions with regulatory and economic conditions becoming more favorable. Smart partnerships or mergers with technology firms can enhance digital capabilities and foster AI-driven innovations.

3. Capital spending

Extending capital investment in energy and real estate opens new avenues for media companies. Given these market dynamics, collaboration involving data centers or energy-efficient content delivery networks could become significant.

4. Deregulation trends

A more relaxed regulatory environment may facilitate the way for innovative cross-platform deals and media-tech partnerships. For some, this will unlock new revenue streams.

5. Evolving content and platform strategies

The shift in media consumption—toward digital-first platforms, podcasts, and creator-generated content—requires media companies to reassess their content strategies. Multi-platform distribution and niche content offerings will be critical to staying competitive.

6. Investor confidence spurs media M&A

Reduced macroeconomic pressures and lower interest rates will likely attract private equity investments. This will fuel innovation and expansion for forward-thinking media companies.

AI: a catalyst for investment

AI remains a focal point for investment, particularly in the U.S. In January 2025, a landmark $500 billion joint venture between OpenAI, Oracle, and SoftBank to develop a network of AI data centers. This venture should reinforce the U.S.'s position as a global AI hub.

Companies channeling capital into high-growth areas such as data analytics, automation, and generative AI enhance products to drive future growth. Notable deals in 2024, including Cisco's $28 billion acquisition of Splunk and HPE's $14 billion acquisition of Juniper Networks, exemplify this trend.

Regulatory and geopolitical shifts

The new administration is undergoing significant changes in the U.S. Regulatory landscape. Appointments to the Federal Communications Commission (FCC) and the Federal Trade Commission (FTC) should foster a more deregulated environment, easing barriers to media M&A. These changes may have global implications, influencing deal activity in other regions.

After a prolonged period of high interest rates, central banks expect to implement gradual rate cuts in 2025. Lower borrowing costs will likely invigorate financial sponsors, reversing the trend toward corporate-led deals and a resurgence in private equity investment.

As the media landscape transforms, digital-first platforms necessitate strategic portfolio assessments. As companies adapt, transformative M&A, including divestitures of non-core assets, is likely. Vivendi's recent restructuring and Comcast's strategic moves exemplify this trend.

The Technology, Media, and Telecommunications sectors (TMT)sector is ready for a resurgence in M&A activity in 2025. The convergence of AI-driven innovation, regulatory shifts, and capital market dynamics creates fertile ground for strategic acquisitions. Those media businesses that are agile and responsive will seize new opportunities and navigate well in this dynamic landscape.

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