Optus has selected Nokia’s IMPACT Internet of Things (IoT) platform to provide device management and data collection capabilities to their customers. 

Both companies have agreed on a joint go-to-market strategy to bring IoT solutions to Optus customers across multiple industry segments in Australia.

Nokia’s industry leading IoT Device Management Platform (DMP) will enable Optus to provide its customers with simple access to Narrow Band-IoT device data, from low power devices, and remote device management at scale. This can be done regardless of device type. Nokia and Optus will work together to help create smart cities and support enterprise customers across industries, including mining, utilities and transportation. 

Anticipated industry applications include cost effective waste management, supply chain optimization, logistics management and scene analytics for improved safety and security.   

The alliance builds on Nokia’s longstanding relationship with Optus. Nokia is working collaboratively with the operator to manage and maintain its network infrastructure. The two companies launched Australia’s first 5G commercial services in early 2019, making Optus the first operator globally to deploy Nokia’s FastMile 5G indoor gateway in a live network. Nokia and Optus also successfully launched a 5G Fixed Wireless Access service using the 5G New Radio standard.

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Global Marketers presents an updated and Latest Study on AI and Big Data Analytics in Telecoms Market 2020-2026. This report comprises a detailed study of the market covering its future predictions by the past year as a reference for the period between 2020 and 2026 as the forecast period. The report breakdowns major segments and highlights wider level geographies. The report bridges a perfect balance of both qualitative and quantitative information of the AI and Big Data Analytics in Telecoms Market. This report also offers an all-inclusive study of the future trends and developments of the market.

Companies Profiled in this report includes:

Microsoft
Alibaba
Amazon
Amdocs
Apple
AT&T
Baidu
Dell
Ericsson
Facebook
Fico
Google
Huawei
Iberia
IBM
Iflytek
Infosys
IntelCisco

AI and Big Data Analytics in Telecoms Market forecast and review in five major regions: North America, Europe, Asia-Pacific (APAC), Middle East, and Africa (MEA), and South & Central America.

The key insights and evaluations presented in this AI and Big Data Analytics in Telecoms report are worth knowing for any market participant, helping them in ascertaining the superior dynamics and the future trajectories of the global AI and Big Data Analytics in Telecoms Market. The report explains the locale, economic situations with the item value, benefit, demand & supply with market development rate and figure.

By Product Type, AI and Big Data Analytics in Telecoms Market has been segmented into:

cloud
on premise

By Application, AI and Big Data Analytics in Telecoms Market has been segmented into:

Customer Analytics
Network Security
Network Optimization
Self-Diagnostics
Virtual Assistance
Others

We, at Global Marketers, understand the economic impact on various sectors and markets. Using our holistic market research methodology, we are focused on aiding your business sustain and grow during COVID-19 pandemics. With deep expertise across various industries-no matter how large or small and with a team of highly experienced and dedicated analysts, we offer you an impact analysis of coronavirus outbreak across industries to help you prepare for the future.

Key Questions Answered In The Report:

What will be the AI and Big Data Analytics in Telecoms Market size in terms of value and volume in the next five years?
Which segment is currently leading the global AI and Big Data Analytics in Telecoms Market?
In which region will the AI and Big Data Analytics in Telecoms Market be growing rapidly?
Which players will take the lead in the AI and Big Data Analytics in Telecoms Market?

Major factors covered in the report:

Global AI and Big Data Analytics in Telecoms Market summary
Economic Impact on the AI and Big Data Analytics in Telecoms Industry
AI and Big Data Analytics in Telecoms Market Competition in terms of Manufacturers
Production, Revenue (Value) by geographical segmentation
AI and Big Data Analytics in Telecoms Market Analysis by Application
Cost Investigation
Industrial Chain, Raw material sourcing strategy and Downstream Buyers
Marketing Strategy comprehension, Distributors and Traders
Study on AI and Big Data Analytics in Telecoms Market Research Factors
Global AI and Big Data Analytics in Telecoms Market Forecast

Fundamentals of Table of Content:

Chapter 1 about the AI and Big Data Analytics in Telecoms Industry
Chapter 2 Global AI and Big Data Analytics in Telecoms Market Competition Landscape
Chapter 3 Global AI and Big Data Analytics in Telecoms Market share
Chapter 4 Supply Chain Analysis
Chapter 5 Company Profiles
Chapter 6 AI and Big Data Analytics in Telecoms Market Globalisation & Trade
Chapter 7 Distributors and Customers
Chapter 8 Import, Export, Consumption and Consumption Value by Major Countries
Chapter 9 Global AI and Big Data Analytics in Telecoms Market Forecast through 2026
Chapter 9 Global AI and Big Data Analytics in Telecoms Market Forecast through 2026
Chapter 10 Key success factors and Market Overview

The post AI and Big Data Analytics in Telecoms Market Focuses on SWOT analysis, Industry Synopsis, Development Plans 2020 to 2026 appeared first on Artificial Intelligence.

Supportive government framework and policies are expected to enable the Asia-Pacific (APAC) region to emerge as the global epicenter for the growth of artificial intelligence (AI), says GlobalData, a leading data and analytics company.

Several countries across the region are focusing on leveraging AI, enhancing productivity and competitiveness. Though the key objectives of different government entities may vary from each other, all of them want to leverage their strengths to emerge either as AI innovation drivers or leaders.

Sunil Kumar Verma, Lead ICT analyst at GlobalData, comments: “Despite their different priorities, countries strive to accomplish four common and prime objectives by leveraging AI – formulate policies for workforce in an automated economy, job creation across emerging sectors which leverage new technologies, build data ecosystem to be leveraged by cross-verticals to foster innovations and intelligent mitigation of impact on workers impacted by adopting AI and risk reduction.”

Most countries in APAC have had AI policies and initiatives in place for the past five years – be it Japan’s Artificial Intelligence Technology Strategy to promote the development of AI and priorities for industrialization or South Korea’s US$21bn (KRW24.2 trillion) budget to develop science and technology and AI sectors.

Similarly, China’s New Generation of Artificial Intelligence Development Plan proposes three development stages (2020, 2025 and 2030) as per the development situation of AI technologies in China. India too has defined a national policy on AI in working paper ‘National Strategy for Artificial Intelligence’, focussing on five key areas – agriculture, mobility, healthcare, transportation and urban/smart-city infrastructure. Thailand too had formulated AI ethics guidelines last year, undertaken by the Digital Economy and Society (DES) Ministry of Thailand, to cater to the country’s competitiveness and sustainable development.

Sunil continues: “Certainly, the APAC region is expected to emerge as a major market for AI-led initiatives, since most countries in the region are establishing committees or task forces for creating national AI strategies, which have either been launched or are on the course of being launched in next few years.”

Indeed, other countries too are keen on launching AI bases policies and framework. Malaysia has announced forming a National Data and Artificial Intelligence (AI) Policy by mid-2020, to position the country as a hub in South-East Asia for grooming AI talent, and support its efforts in building commercial AI ecosystem. Indonesia is expected to introduce a national strategy for supporting capabilities development in technologies related to AI. Similarly, the Philippines too is formulating an AI road map to improve its productivity and economic growth.

Sunil concludes: “Application scenarios across various verticals continue to move from divided to a unified and customized methodology. The need for digital governance and collaborative approach with the technology companies would further facilitate in the scaling up of enterprises and government priorities in the AI industry chain.”

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Digital and business transformation consultancy R/GA has launched an innovative ‘Lean Experience Stack’ offering in the Asia Pacific – designed to enable clients to create best-in-class digital experiences with lower investment costs, mitigated risk, and a speedier time to market. The new service will be led by R/GA’s APAC Executive Technology Director Anthony Baker, a twenty year industry veteran. 

“Today’s ever shifting landscapes demand a solution that’s agile, scalable and future-proof, and we’re very excited to be helping companies make that shift with the launch of the Lean Experience Stack,” Baker commented, with the new offering built on digital solutions which include agile experience design, cognitive technologies, serverless cloud computing, modular architecture, and continuous innovation.

Based around the customer-focused concept of maximising value while minimising waste through ongoing improvements, The Lean Experience Stack has already been deployed in Japan – the birthplace of Lean principles – through R/GA Tokyo’s recent partnership with Shiseido Professional, allowing the home-grown global beauty brand to reuse its core business services across a range of digital interfaces.

For the implementation project, R/GA streamlined Shiseido Professional’s content and asset management process by building a microservices architecture, with the solution then providing for tailored experiences among Shiseido’s brand partners, professional stylists, end consumers, and brand administrators – including Shiseido Professional Vice President & Global Brand Director Claudia Kim.

“With trends evolving rapidly in the beauty industry, we needed a nimble, connected platform to stay at the forefront of these shifts,” Kim stated of the successful R/GA collaboration. “R/GA built an agile ecosystem that powered our digital innovation platform, enabling thousands of our stylists to create beauty and express themselves in the work they do – faster and more seamlessly.”

In addition to the new microservices architecture, R/GA also helped to maximise Shiseido content across all channels region-wide by consolidating its content and asset library and creating a fresh platform which allows for content to be edited and published with local autonomy in real-time – revamping CRM systems and driving consumers to products and salons while at the same reducing operational costs.

For the new offering, R/GA has established a dedicated team to serve clients across the region, with the firm having outlets in Tokyo, Singapore, Sydney, Melbourne and Shanghai among its 17 locations worldwide. “R/GA’s commitment to clients is to help them change in order to grow and we’ve partnered with iconic global and local brands to deliver unparalleled customer experiences in the face of exponential disruption,” concluded APAC managing director Tuomas Peltoniemi.

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