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Telefonica partners quantum companies to validate new tech

2021-04-09 02:00:00| Total Telecom industry news

Telefónica Tech has collaborated with Barcelona-based Quside, an industry-leading manufacturer of high-performance quantum random number generators, and New York-based Qrypt, a producer of cryptographic quantum security solutions enabled by its Quantum Entropy-as-a-Service (EaaS) solution, to successfully complete the integration of a new quantum technology into its cloud service hosted in its Virtual Data Centers (VDC). In addition…read more on TotalTele.com »

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Category: Telecommunications
 

Overcoming the top four barriers to actionable data insights

2021-04-08 19:23:56| The Webmail Blog

Overcoming the top four barriers to actionable data insights nellmarie.colman Thu, 04/08/2021 - 12:23   According to IDC, the amount of data created over the next three years will be more than all the data created over the past 30 years. And the world will create three times more data over the next five years than it did in the previous five. As data volume and variety increase and data sources proliferate, new opportunities will arise opportunities to deliver superior customer experiences, drive better business decisions and enable greater agility and resiliency. New technologies and approaches such as the Internet of Things (IoT), cloud native development, AI and machine learning, and the modern data fabric offer a path to this intelligent business vision. Despite these opportunities and new approaches, businesses are struggling to manage data and generate meaningful analysis. Theyre weighed down by issues like dirty data and misaligned data collection and governance policies. These companies risk falling behind competitors, who are using data intelligence to adapt to their customers needs quickly and proactively. To gain actionable insights from your data, youll need to address some common barriers. Lets take a look at each of these, as well as what you can do to overcome them.   Barriers and solutions to running a smarter and faster business In a recent study of 1800+ IT leaders, we explored why businesses either fail to move their data analytics projects into production or experience quality and availability issues when they do. The study revealed several key barriers that are common to most businesses:   1. Data discovery challenges Data discovery is difficult when you have unknown data sources, poor data quality, data silos and compliance restrictions. These issues can trace their origin to data used or generated by a specific application stored in a siloed data platform, typically found in an early 2000s web application architecture or in 1990s UNIX applications. Additionally, incomplete views of customers and other business entities, duplicated data and a general lack of understanding around what data is available (for building new applications or updating existing ones) results in less-effective services, insights and customer experiences. Solution: With a holistic view and understanding of your data estate, plus a modern data architecture that makes your data accessible, you can make data discovery and utilization a more natural part of your DevOps processes and culture. DevOps drives speed and quick turnaround. And your data if its known and accessible and in a useful format can be fully incorporated into your DevOps culture, development and deployment processes.   2. Excessive costs When your infrastructure isnt structured for utility and elasticity, your talent is expensive, and youre facing large, ongoing investments with no guaranteed return, costs can grow out of control. Costs also become excessive as you continue to rely on on-premises data solutions for your worst-case scenarios as youre stuck servicing older virtualized applications and data infrastructure. And your on-premises data platforms servicing cloud-based applications may incur higher than needed ingress/egress fees. Solution: By moving data platforms to the right public and private clouds in a multicloud architecture, you get the benefits of multicloud including elasticity, self-service, optimized economics and cloud native services so you can develop modern applications and host a modern data architecture.   3. Complexity Choosing the right mix of technologies, identifying architectural best practices for deployment, and integrating cloud, on-premises and edge these are all complex responsibilities. Yet theyre made even more difficult if your data platform mix isnt optimized. For example, your data may have been forced into a traditional relational data management system, or worse, into unstructured files even though that is not the optimal place for data use and analysis. This makes developing applications using this data more difficult and less effective. IoT dramatically increases the data coming into your business. But it must be analyzed and intelligently separated into data flows that support the business such that your applications get the data they need when they need it. Many organizations either do not leverage the IoT or do so in a manner that overly restricts their data being used from the IoT. While these approaches result in preventing data flooding with its reliability, security and availability issues, they eliminate the benefits of using all of the appropriate data in their business ecosystem. Solution: Dealing with the explosion of data variety, velocity and volume is complex. But by putting this data into the right data platforms in the right clouds configured into a modern data architecture, your data can be more readily used, be more cost effective and set the foundation for modern analytics and superior business insights.   4. Skills gaps Most organizations dont have the skills necessary in-house to optimize their data architecture for modern AI/ML use cases and cloud native applications. To create a modern data fabric, you need specialized education, training and experience not organically available in typical IT teams. This skills gap also contributes to data integration architecture that is scattered and opportunistic preventing applications from getting the right data at the right time and leading to less-than-optimal experiences, results and insights. Solution: Work with a partner whose team has the right skills, career paths and continuous work experience where theyre always busy solving problems and building expertise across many different industries and use cases. This helps ensure that theyre able to attract and retain the best data people.   Achieving actionable data insights With a modern data architecture, your data can help drive better business processes, experiences and decisions. And with a fully integrated data environment supported by DataOps and MLOps, your business and IT teams can make intelligent business and IT decisions that will drive the most value to your customers and have the greatest impact on your businesss bottom line. Modern data architecture coupled with AI and machine learning enables your business to get the right data to the right application at the right business moment while delivering a new level of business insights and intelligent applications. To learn more about how organizations are managing and modernizing their data, check out our report, Data modernization: R

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Category: Telecommunications
 

HMD Global overhauls Nokia smartphone range, starts own MVNO

2021-04-08 17:21:00| Telecompaper Headlines

(Telecompaper) HMD Global is overhauling the Nokia smartphone range with three new series of devices...

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Category: Telecommunications
 

Telecom Business Market Insight 2020 Q4

2021-04-08 16:13:30| Telecompaper Reports

In the Telecom Business Market Insight report Telecompaper analyses the Dutch business telecoms market, focusing on quantitative data up to Q4 2020. It offers a transparent and objective overview of the business market, through detailed insights into retail revenues and customer numbers. These are split into different types of telecom services.

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Category: Telecommunications
 

CommScope to spin off home gateway business into separate company

2021-04-08 15:24:00| Telecompaper Headlines

(Telecompaper) CommScope announced a plan to spin off its Home Networks business into a separate listed company...

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Category: Telecommunications
 

Telenor, Axiata plan merger of Malaysian operations Celcom, Digi

2021-04-08 09:51:00| Telecompaper Headlines

(Telecompaper) Telenor Group and Axiata are in advanced talks regarding a potential merger of their respective Malaysian mobile operations Digi and Celcom...

Tags: plan operations merger digi

Category: Telecommunications
 

Seven percent of US adults do not use internet

2021-04-08 09:32:00| Telecompaper Headlines

(Telecompaper) Seven percent of US adults say they do not use the internet, according to a Pew Research Center survey conducted from 25 January to 08 February...

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Category: Telecommunications
 

EQT, Stonepeak partner on takeover bid for KPN - report

2021-04-08 08:34:00| Telecompaper Headlines

(Telecompaper) Investors EQT and Stonepeak are working together on a possible takeover bid for Dutch operator KPN, people familiar with the matter told the Wall Street Journal...

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Category: Telecommunications
 

KPN set to face 12.6bn takeover offer from EQT and Stonepeak

2021-04-08 02:00:00| Total Telecom industry news

Anonymous sources have told the Wall Street Journal that Dutch operator KPN could soon be facing a bid valued at around €12.6 billion from private equity firms EQT and Stonepeak Infrastructure Partners. According to the report, the firms are conducting their due diligence with the goal of presenting a formal offer in the near future…read more on TotalTele.com »

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Category: Telecommunications
 

PCCW mulls IT unit sale for $1bn

2021-04-08 02:00:00| Total Telecom industry news

Sources have told Bloomberg that PCCW could be looking to sell its IT and data centres unit for over $1 billion. According to reports, the company has received interest from various potential buyers, including private equity firms and other telecoms firms. The unit…read more on TotalTele.com »

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Category: Telecommunications
 

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