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Network-as-a-service is the future of corporate and enterprise networking

  • It also offers agility and monthly subscriptions allowing businesses to align their costs with actual usage. 
  • It can tightly integrate networking services and security services such as firewalls to ensure maximum security.

For the past few years, we have been operating and living through what we believed were uncertain times. 

As we gear ourselves to transition into the new normal, the continuous upheavals, disruptions, and global transformations such as digitisation, and evolving business models have changed our collective calculus of uncertainty. 

We have found comfort in short-term decisions and wish away long-term plans and complexity. 

When it comes to individuals and businesses, one of the models we have turned to is the pay-per-use or subscription model. Whether it is for OTT platforms or IT and digital services, this model has given us access to every possible service in the world. 

During the last few years, technology companies have been mobilising Opex-first models rather than Capex-heavy technology offerings, as they look to target small and medium businesses (SMBs). 

Rajat Arora, Chief Operating Officer at Spectra.

NaaS has been central to this transformation. NaaS brings with its networks, operations, and business architecture structured with more agility, open-based standards and affordability. 

NaaS, predominantly available on a pay-per-use model, delivers virtualisation of various network and infrastructure components for several business functions. 

It has been instrumental in changing and defining the way organisations deploy and manage their networking solutions. 

According to research by MarketsAndMarkets Analysis, the Network-as-a-Service Market size is expected to grow from $10.4 billion in 2021 to $37.5 billion by 2026, at a compound annual growth rate (CAGR) of 29.4 per cent. 

This is a testament to the benefits it delivers upon its implementation, particularly in a corporate environment. 

No matter whatever size organisation you run, NaaS offers scalable solutions to support businesses across sectors owing to its various benefits. 

Lower cost of connectivity 

NaaS reduces a multitude of IT and networking costs associated with infrastructure, hardware, software and operations. It also offers agility and monthly subscriptions allowing businesses to align their costs with actual usage. 

Customers no longer have to pay for surplus capacity that might have gone unused and can add capacity as demand increases. This supports organisations of all sizes, allowing for a more predictable and transparent budget. 

Performance optimisation

With optimisation being a common cause of concern for organisations looking to transform their practices digitally, NaaS ensures that your network operates efficiently by determining the amount of traffic it is capable of supporting. 

The traffic can be adjusted from time to time to ensure maximum optimisation. It also automates multiple processes such as device onboarding and offers orchestration and optimisation for maximum performance. 

Improved security 

India witnessed over 18 million cyber-attacks and threats, with an average of nearly 200,000 threats every day, in the first three months of 2022, according to US-based cyber security firm, Norton. 

As these attacks are a concern for businesses of every size, NaaS helps protect sensitive data by implementing the best practices for IT and network security. 

It makes it possible to tightly integrate networking services and security services such as firewalls to ensure maximum security. 

Exceptional circumstances such as the pandemic result in a mountain of change across individuals and organisations. 

Embracing this fundamental reframing known as the new normal where we can foresee technology as the backbone of the world, we must implement these technological changes across our organisations. 

With innovative business models such as NaaS, we can envisage our organisations and corporates benefiting substantially from its advantages. 

  • Rajat Arora is the Chief Operating Officer at network solutions provider Spectra.

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Renewed consumer demand to drive wearables and accessories growth

  • Smartwatches will continue to dominate due to the strength of the Apple smartwatch and the growing number of companies offering impressive functionalities.
  • 5G smart home-enabled smartwatches to be in the market by 2024.

Demand for wearables and accessories will grow, after a slowdown last year, to 344 million units this year, fuelled by renewed demand from consumers.

According to technology intelligence firm ABI Research, 300 million wearables devices were shipped in 2021 and it will grow to more than 650 million devices worldwide by 2027, at an annual growth rate of 13.2 per cent between 2022 and 2027.

Up to the end of the current year, the growth in the wearables market is foreseen to be driven mainly by two segments, namely sport, fitness, and wellness trackers and smart home-enabled smartwatches.

“The reason behind the rise of these two segments is the continuing direct consequence of the pandemic on consumer’s habits. This year, smartwatches will continue to dominate the wearables market due to the strength of the Apple smartwatch and the growing number of companies offering smartwatches with impressive functionalities,” David McQueen, Consumer Technologies Research Director at ABI Research, said.

Moreover, he said the increasing demand for activity trackers is predicted to drive the wearables market.

Health and fitness use cases

Activity trackers will reach shipments of about 91.5 million by the end of 2022 and are forecast to reach 105 million by 2027, at an annual growth rate of 2.9 per cent.

 “There is rapid growth in the use of wearables, notably smartwatches and activity trackers, among cyclists, runners, gym-goers, swimmers, and athletes, to track calories burned, hourly activity, stationary time, and activity time. The growth in health and fitness use cases is expected to propel wearable shipments,” McQueen said.

However, he said that standalone cellular connectivity will be confined to smartwatches for the time being as sport, fitness, and wellness trackers market will not ship with a cellular connection before 2026..

In comparison, smart home-enabled smartwatches (smartwatches with the ability to interact with smart home devices) represented about 4 million devices in 2021 and is expected to expand to 32 million in 2027, at an annual growth rate of 35.8 per cent between 2022 and 2027.

This category will mainly be shipped with a 4G connection, producing a spectacular growth rate of about 60 per cent from 2022 to the end of 2027.

ABI Research forecasts 5G smart home-enabled smartwatches to be in the market by 2024.

New market opportunities

“This category represents a very small portion of wearable devices shipped with 5G cellular connectivity. Furthermore, these gadgets are projected to record very rapid growth, especially between 2024 and 2027,” McQueen said.

The global smartwatch market recorded about 102.57 million shipments during 2021 and is expected to increase to 121.03 million by the end of 2022. The market is forecast to grow to 289.7 million units worldwide by 2027, at an annual growth rate of 19 per cent.

During the first half of this year, Apple was the lead vendor with 49.6 per cent of the market share, followed by Huawei (17.8 per cent), and Samsung (11.4 per cent).

 In terms of connectivity, 4G smartwatches will be the main devices shipped with a penetration rate of 5 per cent during 2022, while 5G will appear in 2023, with a low penetration rate of about 0.3 per cent.

With the main exception of smartwatches, McQueen said that cellular connectivity in the wearables market has been minimal but is set to flourish, both in size and complexity.

“New technologies continue to emerge, and existing technologies are evolving to address new market opportunities and use cases.“

UAE is second country most interested in cryptocurrency since April crash

  • CoinGecko analysis reveals Nigeria as the country most interested since the crypto market crashed  by examining Google Trends data of search terms.

The United Arab Emirates (UAE) is the second most curious country about cryptocurrency since the market crash in April this year, after Nigeria.

According to a research carried out crypto price tracker CoinGecko by examining Google Trends data of search terms, UAE, with a total search score of 270, has the second-highest proportion of its population searching for both the word ‘cryptocurrency’ and the term ‘invest in crypto’, placing it second in the ranking. 

With a total search score of 371, Nigeria topped the list for its population having the highest search levels for the phrases ‘cryptocurrency’, ‘invest in crypto’ and ‘buy crypto’ worldwide.

Additionally, the population of Nigeria searches for the cryptocurrency ‘Solana’ the third most worldwide. 

Singapore placed as the third country most interested in cryptocurrency since April this year.

The Southeast Asian country has the third-highest level of searches for the term ‘buy crypto’, in addition to being the country searching for the cryptocurrency ‘Ethereum’ the most worldwide, giving Singapore a total search score of 261. 

Australia is placed fourth and the UK in the fifth position.

 “This year, we see a major correction from previous bull cycle highs, which have resulted in significant price drawdowns in an unforgiving macroeconomic environment,” Bobby Ong, COO and Co-founder of CoinGecko, said.

Moreover, he said that the study provides interesting insight into which countries remain most interested in cryptocurrency in spite of market pullbacks.

“The countries at the top of this list appear to be keenest to buy the dip, and highlight their long-term outlook for cryptocurrencies.” 

Do we need an ‘agent or agentless’ tooling stack to secure cloud workloads

  • Traditional security tools [that aren’t built to be cloud-native] don’t provide adequate context to perform an investigation and security response.
  • Organisations need a unified model of agentless plus agent-based to address the challenges of finding, focusing, and fixing container security issues.

Lifting and shifting workloads to the cloud without tooling changes is a losing proposition and results in reduced visibility, lack of control plane context and limited workload context that weakens the security posture of the organisation, an industry expert said.

“Visibility is critical across your cloud and container platforms, but traditional security tools [those that aren’t built to be cloud-native] don’t provide adequate context to perform an investigation and security response,” Jake Williams, Executive Director of Cyber Threat Intelligence – SCYTHE – and Senior Instructor at SANS Institute, said.

Jake Williams, Executive Director of Cyber Threat Intelligence – SCYTHE – and Senior Instructor at SANS Institute.

When it comes to container security and visibility in the cloud, he said that there are two primary models – agent-based and agentless.

“Many organisations spend an inordinate amount of time trying to decide which model is superior,” he said.

Sure, agentless is the new hotness, he said, but what are you giving up and do you need agents or agentless?

Despite some strengths and weaknesses of each approach, he said that the outcomes are superior when using a combination of agent-based and agentless cloud-native security tooling.

“The two technologies aren’t mutually exclusive. Organisations that have moved to the cloud without deploying cloud-native monitoring tools should examine these scenarios and ask whether they would have similar outcomes to the observations in the first scenario.

Inevitable focal point

“Those wanting to avoid those outcomes should strongly consider deploying a cloud-native tooling stack using a combination of agentless and agent-based technologies to maximise their ability to rapidly find, focus, and fix security (and operations) issues in their cloud environments and the spectrum of workload types that exist within modern architecture,” Williams said.

Prioritisation isn’t the end of the journey; however, he said that they (security experts) need to remediate discovered issues. Just like a good doctor, “we need to treat the causes rather than just address the symptoms. Remediation must happen at the source.”

When investigating visibility solutions for cloud platforms, and workload monitoring more specifically, he said the question of agent-based vs. agentless becomes an “inevitable focal point”.

Given the speed with which DevOps teams change deployment parameters, he said that testing to find every edge case with an agent simply isn’t realistic.

Although agentless technologies like to claim they can do everything without an agent, he added.

Limited visibility

While an agent-based technology stack has direct visibility into the runtime of the system it runs on, comparable agentless solutions are limited to polling or taking trigger-based actions.

Polling models suffer from limited visibility between polling intervals, not to mention the difficulty of choosing an appropriate polling interval.

Trigger-based actions are limited to the types of triggers (events) the monitored platform can send (and the timeliness with which it does so).

Agentless also implies that a target cloud service or workload an organisation wants to monitor and control is fully API enabled. This API enablement isn’t necessarily a given, depending on the underlying technology stack or the cloud provider’s offering.

Given these limitations, should organisations transition from agent-based to agentless solutions, even if it means preventing potential availability issues caused by agents?

“In most cases, we would argue that they definitely should not. Because agentless solutions rely on existing features of the monitoring target to provide telemetry, they often miss important telemetry that agent-based solutions catch,” Williams said.

Moreover, he said the additional data collected by agent-based solutions often prove pivotal in establishing context.

“An additional point worth mentioning is the extreme rarity of availability issues caused by agent-based solutions in today’s environments. Most anecdotes in this area can be traced to immature capabilities, improper deployments, or other extremely self-inflicted circumstances.”

However, he said that agentless solutions are required to capture data that agent-based solutions cannot.

Organisational stress

If the organisation has workloads configured in AWS, agent-based solutions can (and should) capture telemetry inside containers, but what about understanding the AWS control plane?

Because the control plane doesn’t offer the capability to run an agent, “we should think of this as an ideal use case for agentless technology.”

“We’ve witnessed multiple organisations stress over changes for inordinate periods, extending the length of a threat actor’s access to their environments. This is understandable. After all, although nobody wants to deal with a threat actor in the environment, causing a self-inflicted outage in a critical service is often a résumé-updating event (especially during an incident when tensions are already high),” Williams said.

By considering circumstances where agent-based and agentless technology each excel and don’t, he said that it becomes clear that organisations need a unified model of agentless plus agent-based to address the challenges of finding, focusing, and fixing container security issues.

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Convertedin secures $3m to expand its wings into MENA and Latin America

  • Funding led by Saudi Arabia headquartered  Merak Capital with participation from 500 Global and MSAS.
  • Aims to transform data-led marketing for regional e-commerce brands and businesses.
  • Currently available in multiple languages including Arabic and English, the startup will be launching services in Portuguese soon.

Egypt-based Convertedin has secured a $3 million Seed round as it embarks on its next stage of growth in Middle East and North Africa (MENA) and Latin America.

The funding was led by Saudi Arabia-headquartered  Merak Capital with participation from 500 Global and MSAS.

The start-up is built for brands and businesses who desire a single platform to drive personalised and scalable campaigns, convert customers, achieve measurable results and grow e-commerce revenue.

As SMBs around the world build e-commerce services, Mohamed Fergany, CEO and co-founder of Convertedin, said that they need the right tools to convert customers and generate revenue.

“With Convertedin, brands no longer need expensive and complex infrastructure for data-centric marketing. We have built a marketing operating system, which today is the preferred choice for hundreds of local and international brands.”

Leveraging data to unlock value

With its advanced technology, Convertedin helps to unify zero-party and first-party data to unlock value for businesses, create marketing efficiencies, and have a singular focus on growing revenue.

 “As e-commerce businesses become increasingly prevalent, they often lack the capabilities to leverage data for customer acquisition to drive topline growth. The ever-changing landscape of digital marketing platforms adds a new layer of challenges for e-commerce companies,” Ahmed Aljibreen, Partner at Merak Capital, said.

As part of its expansion plans, Convertedin will open its first office in South America to be located in the Brazilian city of Rio de Janeiro.

With e-commerce revenue in South America set to grow to $167.34 billion by 2025 from 244.1 million users, Convertedin aims to help businesses accelerate growth and drive revenue generation.

Currently available in multiple languages including Arabic and English, the company will be launching services in Portuguese soon. Convertedin will also utilise funds for further development of its platform and strategic hiring .

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Sourcing quality data is an “obstacle” for many technologists to create responsible AI

  • Survey shows that the data used for AI models should be sourced responsibly, contain less bias, and remain highly accurate.
  • Business leaders and technologists report a significant gap in ideal vs reality in achieving data accuracy.
  • Covid-19 accelerated the AI strategy of enterprises and it is expected to continue to accelerate.

Data sourcing continues to be a major bottleneck for teams building artificial intelligence applications and many businesses are facing the challenges of trying to build great AI with poor datasets, an industry expert said.

“Many factors are in play like a lack of sufficient data for a specific use case, new machine learning techniques that require greater volumes of data, or teams don’t have the right processes in place to easily and efficiently get the data they need,”  Sujatha Sagiraju, Chief Product Officer at Appen, a leader in data for the AI Lifecycle.

According to the “State of AI “report conducted by the company, 93 per cent of respondents believe that responsible AI is the foundation of all AI projects while 42 per cent of technologists say the data sourcing stage of the AI lifecycle is very challenging.

However, business leaders were less likely to report data sourcing as very challenging (24 per cent).

As is true of 2021, Covid-19 played an important part in the continued growth that’s been witnessed in the industry.

Data diversity is important

Companies are no longer playing catch-up but are now planning for their next AI advances, albeit carefully, to ensure there won’t be a repeat in the future.

According to the report’s findings, 51 per cent of participants agree that data accuracy is critical to their AI use case.

To successfully build AI models, Sagiraju said that organisations need accurate and high-quality data.

“Unfortunately, business leaders and technologists report a significant gap in ideal vs reality in achieving data accuracy,” she said.

Appen’s research also found that companies are shifting their focus to responsible AI and maturing in their use of AI.

“More business leaders and technologists are focusing on improving the data quality behind AI projects to promote more inclusive datasets and, as a result, unbiased and better AI,” she said.

However, the report showed that 80 per cent of respondents stated data diversity is extremely important or very important, and 95 per cent agree that synthetic data will be a key player when it comes to creating inclusive datasets.

Solving the challenges

Mingkuan Liu, Vice-President of Data Science at Appen, said that the gap between data scientists and business leaders is slowly narrowing year over year when it comes to understanding the challenges of AI.

“The emphasis on how important data, especially high-quality data that match with application scenarios, is to the success of an AI model has brought teams together to solve these challenges,” he said.

For AI solutions to properly function, massive volumes of quality data are required to train the underlying neural networks.

A great example is multilingual natural language processing (NLP) which relies on millions of human speech inputs for each language prepared and delivered in formats ML models can ingest.

While 4 out of 5 of our survey respondents said that they have the right amount of data to support an AI project (81 per cent) and have access to the tools they need to do their AI-related job (90 per cent), the majority of them are still struggling with low data quality.

“This typically results in underperforming systems. This becomes even a bigger challenge when integrating multimodality in NLP or connecting multiple individual NLP solutions that support several languages and content types,” the report showed.

Using the right data at the beginning of the lifecycle drives greater results through later stages.

The average proportion of time spent managing and preparing data is trending down, on average 47.4 per cent time compared to 53 per cent in 2021.

Data management is major hurdle

“With a large majority of respondents using external data providers, it can be inferred that by outsourcing data sourcing and preparation, data scientists are saving the time needed to properly manage, clean and label their data,” Sagiraju said.

The report showed that the greatest hurdle for AI initiatives is data management, with 41 per cent indicating it as the biggest bottleneck.

Right behind, 39 per cent of respondents reported a lack of qualified talent–data scientists and technologists, data architects and engineers are scarce. 31 per cent indicated a lack of budget for adequate headcount, adding to the challenge of properly staffing data management teams.

“The shortage of qualified data scientists and technologists emphasises the importance of ensuring critical talent is focused on activities that require their valuable skills. To remedy this, companies look to external data providers to reduce their workload in areas such as data sourcing, freeing up scientists’ time for other AI initiatives,” it said.

Sagiraju said that the majority of AI efforts are spent managing data for the AI lifecycle, which means it is an incredible undertaking for AI leads to handle alone – and is the area many are struggling with,”

“Sourcing high-quality data is critical to the success of AI solutions, and we are seeing organizations emphasize the importance of data accuracy,” she said.

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