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The intersection of 5G and storage: Transforming mobile media consumption

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The blazing-fast speeds, extremely low latency, and massive connectivity achieved with 5G technology are changing how mobile media is being perceived. As such, storage solutions need to keep up with the growing demands of the content supply chain. In 2009, 4G introduced the concept of mobile data as an object that is downloaded to a device and is then played back. This innovation led to an increase in the amount of data processed on mobile devices.

For example, more than 500 hours of video content are uploaded in a single minute just on YouTube alone, and 5G is only going to increase how much media can and will be consumed worldwide. In this article, we’ll provide insights on how the 5G innovation will change storage requirements and the way media is consumed on mobile devices.

Roger Beck

Senior Systems Engineer, OpenDrives.

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Node.vc raises $77.3M for new fund backed by 70 Nordic entrepreneurs

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Node.vc raises $77.3M for new fund backed by 70 Nordic entrepreneurs

Node.vc has raised $77.3 million, or €71 million, for a new fund that is backed by 70 Nordic entrepreneurs.

This founder-first VC fund, (which is spelled node.vc by the company), is based in Stockholm and it has a “sector-agnostic” focus. Still, at least one of its early investments is in a game company. The firm is led by veterans of leading startups and scaleups (including eye tracking scaleup Tobii and Tobii Dynavox and video game pioneers Paradox Interactive).

The idea is to double down on building an ecosystem for entrepreneurs. The $77.3 million figure is the amount the fund has closed to date. I hope this means there is a sign of life in the venture capital investment climate, as recently investors have been gunshy.

Cornerstone investors in the new fund include Stockholm-based Saminvest (a venture capital company formed by the Swedish government in 2016, committed to establishing new and sustainable ventures), as well as several leading Nordic institutional investors, underscoring broad confidence in node.vc’ approach to venture capital. node.vc has built an investor base that includes more than 70 entrepreneurs.

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Notable backers of the new fund include founders of Axis Communications, Yubico, Polarium, Cint, Evolution, PriceRunner, and Polar Structure. The Stockholm-headquartered VC firm’s investment philosophy is built on the power of becoming a node for the Nordic startup ecosystem, ensuring that the firm’s investor community is equipped to help identify, evaluate, and support portfolio companies.

A founder-first approach

Node.vc’s investment strategy revolves around building a founder-first ecosystem, where the firm leverages its extensive entrepreneurial network to identify, support, and scale innovative tech companies. The firm’s sector-agnostic approach is guided by the belief that disruptive innovation can emerge from any industry.

To date, the firm has already made three investments in Sweden: Lemonado, a no-code platform for building software and apps; Roro, a creative play studio; and Starhive, a next-generation unified data management platform for enterprises.

The firm’s thesis is based on the power of collaboration, connecting successful entrepreneurs with early-stage founders to accelerate growth and increase the probability of success. As the global landscape of work, innovation, and entrepreneurship evolves rapidly, Node.vc stands at the intersection of disruption and growth. The firm is committed to identifying and backing companies leading change across various industries, whether it’s reshaping virtual work, driving the future of AI, or unlocking new frontiers in interactive entertainment and enterprise technology, the company said.

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Node.vc managing partner John Elvesjö said in a statement, “The Node.vc team started as founders and operators ourselves, we know what it takes to build and scale successful companies. That’s why we always put founders first; Node.vc is creating an ecosystem where entrepreneurs back entrepreneurs. Our approach is simple – when we invest in a company, we bring much more than capital.”

Elvesjö added, “Having been in the founders’ shoes ourselves, we know the challenges first-hand and deeply respect the journey. Our aim is to partner with founders, giving them the full weight of our experience, networks, and insights. With the incredible group of investors we’ve brought together, we’re certain we have built the largest entrepreneur-backed early-stage VC in the Nordics, all within one fund structure.”

Cornerstone investor Saminvest CEO Magnus Skåninger said in a statement, “Node.vc has the team and vision to deploy capital across the ecosystem in such a way that drives a new wave of entrepreneur- backed success. They are well-positioned to execute on the best investment opportunities across the tech landscape.”


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Support automation firm Capacity grows with new cash and acquisitions

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David Karandish has been busy.

Capacity, his support automation company, was planning a $5 million “bridge round” to help the company reach the break-even point. But TVC Capital, Toloka.vc, and the venture’s other backers had something grander in mind. So they threw in an additional $21 million for what became Capacity’s $26 million Series D.

While all this was happening, Capacity acquired three companies: enterprise search firm Lucy (which had raised $5.6 million) and two startups focused on customer service automation, Linc and Envision.

“It’s an exciting time of transformation at Capacity as we grow to help brands do more to automate interactions with customers and team members,” Karandish told TechCrunch. “We’re at an inflection point for AI and many businesses are realizing that they need a complete platform to be successful, rather than cobbling together a bunch of point solutions.”

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Karandish co-founded Capacity with Chris Sims in 2017 as a part of Equity.com’s incubator program. After the $900 million exit of Answers.com (which Karandish also co-founded), Karandish says he wanted to start a business to address what he perceived as major blockers in customer service operations.

“Rising costs have placed pressure on support teams to do more with less,” Karandish said. “At the same time, consumer expectations are shifting rapidly where consumers both want self-service but are increasingly frustrated by lackluster experiences. Our goal with Capacity is to provide a great customer experience while also recognizing that escalating to a human is the right thing to do in many cases.”

Capacity connects to a company’s tech stack to answer queries and automate support tasks. The platform mines information from files, apps like Gmail, customer relationship management software, and more to build a knowledge base that Capacity’s chatbot and helpdesk tools can pull from.

Employees can ask Capacity’s chatbot questions like “What was added to the merger contract yesterday?,” or even instruct it to do things like updating the status of a sales lead. The chatbot and helpdesk can also deliver company-wide announcements, like news and event notifications. And they can be made external-facing (with filters to hide sensitive data, mind you), embedded on a company’s website to answer common customer questions.

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Capacity
Image Credits:Capacity

“We view Capacity as having the ease-of-use of a tool like Zendesk with the automation chops of a ServiceNow,” Karandish said. “From an approach standpoint, we are executing a very similar playbook to Parker Conrad’s ‘compound model’ — except in our case, we’re focused on support.”

Innovations in self-service software — including AI — are making them a more attractive solution to companies than they have been in the past. For example, Cleverly.ai — which Zendesk acquired in August 2022 — finds answers to customers’ questions by creating a knowledge layer on top of applications. Meanwhile, Directly taps algorithms trained by subject-matter experts to strategically answer customer issues in a variety of different messaging channels.

Customers like self-service options. According to a Zendesk poll, 67% prefer them over interacting with customer support. But it can be difficult to get them right. A Gartner survey found that, on average, only 14% of customer service and support issues are fully resolved in self-service.

Capacity will upgrade and expand its product portfolio through its recent acquisitions.

Karandish sees Lucy’s offering, which ingests and analyzes data from enterprise apps and systems, augmenting Capacity’s existing indexing technology. Envision, meanwhile, will help Capacity customers flag unresolved chats and calls and train human agents. And Linc will bring self-service tools for retail and e-commerce to Capacity, said Karandish.

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The plan is for Lucy’s co-founders, Dan Mallin, Scott Litman, and Marc Dispensa, to join Capacity to help lead products and teams integration. Envision CEO Rodney Kuhn will oversee contact center solutions at Capacity, and Linc founder and CEO Fang Cheng will lead Capacity’s e-commerce efforts.

To date, Capacity has acquired eight companies — the other five being Textel, LumenVox, Denim Social, SmartAction, and Cereproc — and raised more than $89 million.

Karandish said that the newest tranche will be put toward growing Capacity’s headcount to 200 people by the end of the year as the Saint Louis-based company “heads toward profitability.” Capacity’s customer base now stands at over 2,500 brands, he added, while its annual recurring revenue is nearly $50 million.

“Our growth strategy reflects what our customers are asking for: an all-in-one AI platform that delivers across all communication channels,” he added. “We’ve identified 24 steps of the customer experience that are ripe for support automation … Each acquisition adds specific tech and talent to help Capacity become a leading provider of AI-powered solutions for customer and employee experience.”

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The FCC is looking into the impact of broadband data caps and why they still exist

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The FCC is looking into the impact of broadband data caps and why they still exist

The Federal Communications Commission is officially looking into broadband data caps and their impact on consumers. On Tuesday, the FCC approved a notice of inquiry to examine whether data caps harm consumers and competition, as well as why data caps persist “despite increased broadband needs” and the “technical ability to offer unlimited data plans,” as spotted earlier by Engadget.

Many internet plans come with a data cap that limits how much bandwidth you can use each month. If you go over the data cap, internet service providers will typically charge an extra fee or slow down your service. The FCC first started inviting consumers to comment on broadband data caps last June, hundreds of which you can now read on the agency’s website.

You can still share your experience with broadband data caps with the FCC through this form, which will ask for details about the name of your ISP, usage limits, and any challenges you’ve encountered due to the cap.

“For most people in the United States, rationing their internet usage would be unthinkable and impractical,” FCC Chairwoman Jessica Rosenworcel said in the press release. “Restricting consumers’ data can cut off small businesses from their customers, slap fees on low-income families, and prevent people with disabilities from using the tools they rely on to communicate.”

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AI maturity: An organizational guide for AI-powered transformation

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A hand reaching out to touch a futuristic rendering of an AI processor.

As the transformative power of Generative AI reaches new heights, the technology is reshaping the way nearly every organization around the world works, collaborates and innovates.

However, adoption and progress is uneven, with two cohorts emerging: those organizations that stalled in adopting AI tools, versus those who making progress towards realizing the opportunity. According to a recent study from BCG, only 10% of organizations are scaling AI across one or more enterprise functions, while 40% of organization have taken no action. The BCG study notes that the benefits are clear, as those organizations who are further along in the adoption of AI are observing 2.6x increases in revenue growth and 38% in EBIT growth across three years, as well as substantive increases in market share and customer satisfaction.

There are a range of ways that AI can be applied to simplify and streamline parts of the day to day working process, as well as supporting creative content creation and complex problem solving. However, to truly harness these new capabilities, organizations will need to rethink traditional ways of working and adapt to new paradigms to achieve the business impact noted above.

Through our discussions with leading enterprise customers, numerous analyst briefings and our own independent research, we have found that organizations exhibit a common set of characteristics as they mature their understanding and adoption of AI. Through understanding the indicators, incubators, and inhibitors, organizations can accelerate their path towards realizing the benefits of AI. Let’s walk through these phases to help supercharge the ways organizations leverage AI.

Phase 1: Exploration

Known as the nascent phase where organizations are beginning to understand what AI is and how it can be applied within their context, the exploration phase is entrepreneurial and opportunistic.

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For every organization, building a strong foundation with AI emphasizes educating the team with the basics of AI and machine learning, being strategic with the existing
IT infrastructure and data, focusing on the forward momentum in a responsible way and evaluating the existing policies. This approach ensures that the integration of AI aligns with your established protocols for data security, privacy and ethical standards, minimizing risks and maintaining regulatory compliance. 

By grounding AI initiatives in familiar governance practices, organizations will have the opportunity to create a solid foundation for responsible AI deployment while facilitating smoother transitions and fostering trust among stakeholders. It means you’ll also be able to identify gaps or necessary adjustments in policies to better accommodate AI technologies as they evolve.

Phase 2: Experimentation

At this stage, organizations may begin experimenting with AI technologies to upskill their teams and put knowledge into action. It’s a good idea to run pilot projects and proof-of-concept initiatives, encouraging targeted use of AI to address specific opportunities. This user testing will also help teams get first-hand experience of working with AI aligned with their business’ policies and governance in mind. 

Some processes to consider trialing include:

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1. Upskill AI “champions” with critical knowledge – these are the key employees that will be the core AI team, providing support across departments and ensuring business-wide alignment 

2. Fund targeted AI applications to address specific challenges or opportunities – by being selective and prioritizing key projects, you can scale up AI implementation and ensure it is fit for purpose. 

3. Either set up or brief the governance team to identify risk, ensure data integrity, and foster accountability throughout AI projects.

Communication is key in this phase so ensure teams and pilot project groups are aligned and led with a central vision or set of objectives. This might include streamlining client communications across the organization so there is full transparency of the developing changes and inclusion of AI to the business, while highlighting how it will benefit the business and the services provided.

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Phase 3: Innovation

The innovation phase is arguably the most exciting one. This is when the groundwork and testing is put to good use. Here, organizations may consider establishing new AI roles and reskilling team members, upgrading the existing infrastructure to support long-term adoption of AI, re-engineering the work process and continuously monitoring and updating policies as new processes are officially brought online.

This phase will also demonstrate the immense benefits and learning development opportunities that come with AI adoption. A comprehensive reskilling program is essential to empower existing employees with the knowledge and skills needed to work effectively with AI technologies.

It is also well worth investing in some high-performance computing resources, cloud computing platforms, and advanced data storage solutions that can handle the increased processing demands of AI workloads.

Phase 4: Realization

This next phase is about fully integrating AI into decision-making and operational processes to unlock new opportunities, drive innovation, and maintain a strong competitive position in the market. This is where all that has been learned through the previous phases is formally embedded into day-to-day ways of working.

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Similar to the innovation phase of reskilling employees, here, organizations should make sure that their employees are fully equipped with the technology and leadership skills that are necessary to leverage AI technologies. This will be a case of making sure that all employees are skilled to adapt to the new ways of working by benchmarking skills, identifying competency gaps, and implementing training programs to address them accordingly.

Organizations should also evaluate the consolidation or decommissioning of legacy infrastructure and tools, scale work processes across all business functions and units, and empower the governance team to actively monitor progress and update policies.

Overall, as your organization begins adopting AI business-wide, it’s important to remember that it’s not just about using AI to make things faster and more efficient, but about leading with empathy and understanding. If we as leaders focus on emotional intelligence we create working environments where both people and technology can thrive.

We list the best free cloud storage.

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This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro

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Bullish sentiment and broadening rally in markets

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Bullish sentiment and broadening rally in markets


Traders work on the floor of the New York Stock Exchange on April 5, 2024.

Spencer Platt | Getty Images News | Getty Images

This report is from today’s CNBC Daily Open, our international markets newsletter. CNBC Daily Open brings investors up to speed on everything they need to know, no matter where they are. Like what you see? You can subscribe here.

What you need to know today

Breather from rally
U.S. markets fell Tuesday, weighed down by a
drop in semiconductor stocks and a 8.1% slide in UnitedHealth. Asia-Pacific stocks were mostly lower Wednesday. Asian chip stocks, like Tokyo Electron and Taiwan Semiconductor Manufacturing Company, retreated on news of ASML’s disappointing forecast and reports of the U.S. possibly imposing export controls on AI chips.

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ASML slumps
Shares of semiconductor equipment manufacturer ASML plunged 16% on a downbeat earnings report. For 2025, the Netherlands-based company thinks net sales will come in at the lower half of its previous projection. ASML missed expectations on net bookings by 3 billion euros for the September quarter, though net sales beat expectations.

Better than ChatGPT
Alibaba updated its artificial-intelligence translation tool, based on a model called Marco MT, on Wednesday. The Chinese e-commerce giant said its product performs better than those by Google and DeepL, according to an assessment by benchmarking tool FLoRes. Fifteen languages are supported by Alibaba’s AI-powered translation tool.

Banks beat expectations
Goldman Sachs, Bank of America and Citigroup beat earnings and revenue estimates for their third quarter. Goldman was the standout performer: Its profit jumped 45% from a year earlier. Year on year, Bank of America experienced a 12% drop in net income and Citigroup’s net income fell 8.6%.

[PRO] Repositioning for slower rate cuts
September’s strong jobs report and higher-than-expected inflation reading mean that the U.S. Federal Reserve is unlikely to repeat its jumbo 50-basis-point rate cut at its November meeting. Here’s how strategists are repositioning in view of changing rate cut expectations.

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The bottom line

Despite markets falling Tuesday, there’s still plenty to like about their current state.

Weighed down by ASML’s 16% dive and a report by Bloomberg on potential AI-chip export controls, semiconductor stocks like Nvidia and AMD fell 4.7% and 5.2% respectively. That gave the VanEck Semiconductor ETF its worst day since Sept. 3. As a result, the tech-heavy Nasdaq Composite lost 1.01%.

The Dow Jones Industrial Average, which just yesterday was basking in its accomplishment at closing above the 43,000 level for the first time, fell 0.75% to dip into the 42,000 territory again. UnitedHealth’s 8.1% drop dragged down the Dow.

Last, the S&P 500 retreated 0.76%.

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Still, investors are the most bullish in four years, according to the October BofA Global Fund Manager Survey. They’re also optimistic about the economy: 74% investors believe the U.S. will avoid a recession.

Anticipation of more rate cuts by the U.S. Federal Reserve and hopes that Beijing will unleash more stimulus to boost its economy are driving up investor sentiment, according to Michael Hartnett, an investment strategist at BofA.

Indeed, San Francisco Fed President Mary Daly, who’s a member of the Federal Open Market Committee this year, noted that the central bank is “a long way from where [rates are] likely to settle.” That means “the decisions that are really in front of us are ones about how quickly to adjust towards that level” – not whether to keep rates high in light of how strong recent economic data has been.

Another positive sign for markets is how the S&P and Dow hit all-time highs on Monday, but the Nasdaq was still a few percentage points away from its peak. “This subtle divergence is technical evidence that the market has been moving away from the Magnificent Seven mega-caps,” wrote Piper Sandler’s chief market technician Craig Johnson.

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– CNBC’s Jeff Cox, Samantha Subin, Yun Li, Lisa Kailai Han and Alex Harring contributed to this story.    



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DJI’s new Air 3S has a whopping 42GB of built-in storage

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DJI's new Air 3S has a whopping 42GB of built-in storage

DJI has officially unveiled the Air 3S, the company’s first new flying machine since the Neo beginner drone that launched in September.

The Air 3S builds on the success of the Air 3 and offers travelers a great way to capture aerial photos and footage from wherever their adventures take them. DJI’s newest quadcopter comes with a 1-inch-CMOS, 50-megapixel sensor, with a 24mm lens capable of 4K/60fps HDR and 4K/120fps video. It also features a 48-megapixel, 70mm medium telephoto lens with a 3x optical zoom.

The Air 3S comes with omnidirectional obstacle sensing via six vision sensors, and is the first DJI drone to feature forward-facing LiDAR. It also has new nightscape obstacle sensing capability, enabling peace of mind when sending your quadcopter skyward in darker conditions.

The new foldable flying machine comes with DJI’s ActiveTrack 360-degree flight mode ensuring that the subject remains in the frame, and also introduces a new Subject Focusing feature that keeps the subject in sharp focus during manual flight or when the subject moves off-center. DJI says the feature allows the pilot to concentrate on the creative aspects of perfecting a shot, such as composition and camera movement.

You’ll get a decent 45 minutes of flight time from a single charge of the swappable Air 3S battery, and any content you capture will go straight to the 42GB of built-in storage — the most found on any of DJI’s consumer drones.

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“The DJI Air 3S takes our Air Series to new heights by offering professional features like dual primary cameras and omnidirectional obstacle sensing while retaining its light weight of just 724 grams (1.6 pounds) for boundless freedom and flexibility,” DJI executive Ferdinand Wolf said in a release. “The Air 3S is the perfect all-rounder for travel photography, capturing all your special moments during vacation while also providing safety and security if operating at night.”

The DJI Air 3S is available now via the company’s website and starts at $1,099 the quadcopter only, while the Air 3S Fly More Combo, which offers extra accessories, costs $1,399. There’s also the Air 3S Fly More Combo with accessories and the DJI RC 2 controller, which will set you back $1,599.






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