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<title>NVIDIA Agrees to Invest $5 Billion in Intel to Co-Develop Chips</title>
<link>https://ciente.io/news/nvidia-agrees-to-invest-5-billion-in-intel-to-co-develop-chips/</link>
<comments>https://ciente.io/news/nvidia-agrees-to-invest-5-billion-in-intel-to-co-develop-chips/#respond</comments>
<dc:creator><![CDATA[Ciente Editorial Team]]></dc:creator>
<pubDate>Thu, 18 Sep 2025 18:05:11 +0000</pubDate>
<category><![CDATA[News]]></category>
<category><![CDATA[B2B marketing]]></category>
<category><![CDATA[Content marketing]]></category>
<category><![CDATA[Lead Generation]]></category>
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<guid isPermaLink="false">https://ciente.io/?p=42607</guid>
<description><![CDATA[If the B2B industry had the perfect couple announcement- this is it. Nvidia will invest $5 billion in Intel’s common stock. The two companies announced that they will be working closely together to develop the next generation of custom data centers and PC products, including SOCs (systems on chips) that integrate Nvidia’s RTX GPU chiplets. … <p class="link-more"><a href="https://ciente.io/news/nvidia-agrees-to-invest-5-billion-in-intel-to-co-develop-chips/" class="more-link">Read More <span class="screen-reader-text"> "NVIDIA Agrees to Invest $5 Billion in Intel to Co-Develop Chips"</span></a></p>]]></description>
<content:encoded><![CDATA[
<blockquote class="wp-block-quote is-layout-flow wp-block-quote-is-layout-flow">
<p>If the B2B industry had the perfect couple announcement- this is it. Nvidia will invest $5 billion in Intel’s common stock.</p>
</blockquote>
<p>The two companies announced that they will be working closely together to develop the next generation of custom data centers and PC products, including SOCs (systems on chips) that integrate Nvidia’s RTX GPU chiplets.</p>
<p>This is, without a doubt, a watershed moment. Two giants of the industry are coming together to collaborate. What possibilities could exist?</p>
<p>What kind of tech could emerge from this mixing of advanced tech?</p>
<p>“AI is powering a new industrial revolution and reinventing every layer of the computing stack — from silicon to systems to software. At the heart of this reinvention is NVIDIA’s CUDA architecture,” said NVIDIA founder and CEO Jensen Huang. “This historic collaboration tightly couples NVIDIA’s AI and accelerated computing stack with Intel’s CPUs and the vast x86 ecosystem — a fusion of two world-class platforms. Together, we will expand our ecosystems and lay the foundation for the next era of computing.”</p>
<p>It’s exciting to know what the future holds. It’s nothing short of a moment that deserves awe.</p>
<p>But there are a few considerations, namely, The Environmental cost of this computing and the threat of a monopoly.</p>
<p>These are factors that we cannot overlook. AI data centers require fresh water to cool them, and land mass.</p>
<p>Where will these go?</p>
<p>And what about a chip monopoly? Even though Nvidia hasn’t bought all the stock, this is massive. The news heralds a deeper change in the market- a race of computational evolution that seems beyond AI.</p>
<p>Almost into tech that might have seemed alien just a decade ago.</p>
<p>Only time will tell where the collaboration goes. It’s possible that this is just another ripple in a large market instead of the wave it seems.</p>
]]></content:encoded>
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<title>ABB Robotics Invests in LandingAI for Robotic Vision Enhancements</title>
<link>https://ciente.io/news/abb-robotics-invests-in-landingai-for-robotic-vision-enhancements/</link>
<comments>https://ciente.io/news/abb-robotics-invests-in-landingai-for-robotic-vision-enhancements/#respond</comments>
<dc:creator><![CDATA[Ciente Editorial Team]]></dc:creator>
<pubDate>Thu, 18 Sep 2025 17:47:45 +0000</pubDate>
<category><![CDATA[News]]></category>
<category><![CDATA[B2B marketing]]></category>
<category><![CDATA[Lead Generation]]></category>
<category><![CDATA[Marketing]]></category>
<category><![CDATA[marketing technology]]></category>
<guid isPermaLink="false">https://ciente.io/?p=42603</guid>
<description><![CDATA[ABB Robotics has just invested in LandingAI, and it’s a move that goes beyond throwing money at a hot startup. This is about fixing one of robotics’ most persistent headaches: vision. Robots are good at repetition. They’re bad at adaptation. Changing the lighting in a factory, swapping packaging, or moving objects in a slightly different … <p class="link-more"><a href="https://ciente.io/news/abb-robotics-invests-in-landingai-for-robotic-vision-enhancements/" class="more-link">Read More <span class="screen-reader-text"> "ABB Robotics Invests in LandingAI for Robotic Vision Enhancements"</span></a></p>]]></description>
<content:encoded><![CDATA[
<blockquote class="wp-block-quote is-layout-flow wp-block-quote-is-layout-flow">
<p>ABB Robotics has just invested in <strong>LandingAI</strong>, and it’s a move that goes beyond throwing money at a hot startup. This is about fixing one of robotics’ most persistent headaches: vision.</p>
</blockquote>
<p>Robots are good at repetition. They’re bad at adaptation. Changing the lighting in a factory, swapping packaging, or moving objects in a slightly different way can cause most vision systems to fail. Fixing that usually means long retraining cycles, data annotation hell, and high-cost engineering hours. That bottleneck is exactly where LandingAI has been pushing with its platform, LandingLens<img src="https://s.w.org/images/core/emoji/16.0.1/72x72/2122.png" alt="™" class="wp-smiley" style="height: 1em; max-height: 1em;" />. And now ABB wants it baked into their robotics stack.</p>
<p>The pitch here is speed. With LandingAI’s tools, ABB claims robot vision systems can be trained and deployed <strong>up to 80% faster</strong>.</p>
<p>Tasks that once demanded weeks of tuning could take hours. Integrated with ABB’s RobotStudio® and digital twin software, the goal is to make robot vision less of a science project and more of a plug-and-play capability.</p>
<h2 class="wp-block-heading">Why does it matter?</h2>
<p>Because in industries like logistics, food and beverage, or healthcare, conditions change constantly. A robot that can’t adapt quickly is a liability or worse, a life hazard.</p>
<p>ABB hasn’t limited itself to robots that follow a basic pattern; instead, they’re selling intelligence that scales. By partnering with LandingAI, they’re trying to make adaptability a native feature rather than an afterthought.</p>
<p>Of course, the big claims will face real-world friction. Factories are chaotic. Edge cases always appear. But the direction is clear: robotics isn’t just about mechanical precision anymore, it’s about <strong>perception</strong>. The organization that makes vision easy to train and cheap to deploy wins.</p>
<p>ABB’s investment in LandingAI is a bet that vision, not motion, will decide the next decade of robotics. And they don’t want to be on the sidelines when that shift happens.</p>
]]></content:encoded>
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<title>Different Types of Sales Prospecting to Revamp Your Sales Strategy</title>
<link>https://ciente.io/blogs/types-of-sales-prospecting/</link>
<comments>https://ciente.io/blogs/types-of-sales-prospecting/#respond</comments>
<dc:creator><![CDATA[Ciente Editorial Team]]></dc:creator>
<pubDate>Thu, 18 Sep 2025 17:36:03 +0000</pubDate>
<category><![CDATA[Blogs]]></category>
<category><![CDATA[B2B marketing]]></category>
<category><![CDATA[Content marketing]]></category>
<category><![CDATA[Lead Generation]]></category>
<category><![CDATA[Lead Management]]></category>
<category><![CDATA[Marketing]]></category>
<category><![CDATA[marketing technology]]></category>
<guid isPermaLink="false">https://ciente.io/?p=42597</guid>
<description><![CDATA[Setting up sales success means digging deeper into your buyer pool, not casting a wide net. But how? Through different types of sales prospecting. The sales 2.0 era declares sales prospecting and targeting for new businesses dead. It asserts that cold calling is ineffective and prospecting accounts that don’t come to you is a humongous … <p class="link-more"><a href="https://ciente.io/blogs/types-of-sales-prospecting/" class="more-link">Read More <span class="screen-reader-text"> "Different Types of Sales Prospecting to Revamp Your Sales Strategy"</span></a></p>]]></description>
<content:encoded><![CDATA[
<blockquote class="wp-block-quote is-layout-flow wp-block-quote-is-layout-flow">
<p>Setting up sales success means digging deeper into your buyer pool, not casting a wide net. But how? Through different types of sales prospecting.</p>
</blockquote>
<p>The sales 2.0 era declares sales prospecting and targeting for new businesses dead. It asserts that cold calling is ineffective and prospecting accounts that don’t come to you is a humongous waste of time.</p>
<p>But these assumptions are short-sighted.</p>
<p>While digital transformation offers advanced tools to orchestrate customer relationships, it can’t replace prospecting.</p>
<p>Achieving a successful deal demands locating the individual(s) who are inclined to purchase your offerings. It’s not necessary that this individual holds the authority or budget to do so, but has purchasing influence.</p>
<p>This makes up the fundamental crux of sales prospecting.</p>
<h2 class="wp-block-heading">What Really Is Sales Prospecting?</h2>
<p>Fundamentally, sales prospecting can be described as an efficient process of identifying, filtering, and interacting with individuals who you deem fit to purchase your brand solutions.</p>
<p>In simple terms, it’s about locating new customers.</p>
<p>The methodology is more about working smarter than working hard. The market is way too crowded to be setting loose traps and waiting for the right fish to bite the bait. With each segment a potential prospect-yielding source, it’s crucial to find the right types of sales prospecting methods-</p>
<p>One that permeates all relevant sources to drive leads for your business.</p>
<h2 class="wp-block-heading">Why Is Prospecting Vital for Modern Businesses?</h2>
<p>Every year, businesses lose a chunk of their audience base. It’s called customer attrition, and can take place, vitally, due to these two reasons:</p>
<ol class="wp-block-list">
<li>One of your direct competitors counters with better pricing and benefits.</li>
<li>Or they don’t need the particular solution anymore.</li>
</ol>
<p>This, of course, impacts your brand’s profitability. Losing customers is never a good sight, especially in the first scenario.</p>
<p>And in this competitive market, your competition constantly has its eyes set on you- from the tech you adopt down to your sales deals.</p>
<p>It’s where sales prospecting becomes paramount- to counter the impact of attrition. It all comes together- without prospecting, your marketing and sales funnel runs empty, which ultimately affects your bottom-line growth.</p>
<p>Prospecting identifies your potential buyer and builds a bridge, connecting them to you.</p>
<p>And with the right types of sales prospecting, consistent wins become a routine for your business. Your SDRs also remain on top of their game. Especially to tackle customer attrition, which, while quite normal, is not feasible in the long term.</p>
<p>This is why businesses focus on attracting new customers- prospecting. You merely need the correct method.</p>
<h2 class="wp-block-heading">A Dive into the Types of Sales Prospecting: Transcending the One-Size-Fits-All Framework</h2>
<h3 class="wp-block-heading">Traditional Categorization of Sales Prospecting</h3>
<p>Traditional sales prospecting was the foundational method of finding new customers. It reflects the nucleus of direct engagement.</p>
<p>These processes existed before digital innovations came into purview, but continue to hold relevance even in the current landscape, especially in selected industries.</p>
<p>Traditional prospecting feels more personalized due to its straightforward and face-to-face nature. It has been an industry favorite to build meaningful relationships.</p>
<p>Several may posit a unique apprehension of face-to-face prospecting. It can tend to be overwhelming, time-consuming, and exhausting. There are only a couple of prospects you can identify and communicate with before the sun goes down.</p>
<p>But it still offers a means to connect with buyer psychology. It was easier to underscore the feelings regarding a solution and whether they truly held the intent. The answer always trickled down to a simple yes or no.</p>
<h4 class="wp-block-heading">1. Analog prospecting</h4>
<p>Offline or analog prospecting is a method that worked traditionally, way before digital channels became the key drivers. Sales was always a one-size-fits-all framework, from making house calls to cold calls.</p>
<p>The entire process was carried out through offline or physical channels. It means holding phone calls, field sales, and trade shows. When put forth, they sound like blunt instruments. But instead, these channels are an art form. Mass cold calling requires ample research and spearheaded strategy, field sales is all about account prioritization and territory mapping, and trade shows foster an unparalleled level of connection.</p>
<p>The method worked because the end goal was broad outreach, instead of personalized interactions or prospects’ online behaviors. But in deals where trust is paramount, analog prospecting remains in use.</p>
<p>The point is direct and personal contact to introduce the product or service. Analog prospecting trickles down to volume and persistence- that was the underlying logic.</p>
<h4 class="wp-block-heading">2. Digital prospecting</h4>
<p>Digital prospecting marks a shift from offline channels to digital channels to find new customers. At its core, digital prospecting proves highly effective for improved lead generation. However, this was the initial phase of digital prospecting- mass communication.</p>
<p>As AI and other technology innovations boost sales, there has been a nuanced shift to list segmentation. This sophisticated tactic has ensured that brands don’t send a single email to every account on their contact database.</p>
<p>From broad outreach, sales have shifted to contextual relevance. And digital prospecting has only made it increasingly possible to reach out to segments that actually matter. It’s much easier to reach the most fitting accounts and keep them engaged.</p>
<p>Prospecting doesn’t just end at closing deals. That’s not the goal anymore. With a myriad of granular data that digital prospecting affords, it’s easier to distinguish which messages truly resonate and which ones fall flat.</p>
<p>The tools facilitate A/B testing and message tweaking in real-time. It’s an iteration of offline sales prospecting and only continues to evolve.</p>
<h3 class="wp-block-heading">A Modern Prospecting Structure</h3>
<p>Modern prospecting is all about aligning with the buyer’s journey. It’s less about selling and more about intuitively guiding a prospect through the sales funnel.</p>
<h4 class="wp-block-heading">1. Inbound prospecting</h4>
<p>An informed inbound strategy comprises a tiered content strategy. You aren’t just attracting high-fit leads, but automatically qualifying them. It looks something like this-</p>
<ol class="wp-block-list">
<li>At the top of the funnel, a blog post might attract and engage a chunk of your target accounts.</li>
<li>At the middle of the funnel, most brands seek to collate account information by compelling them to download whitepapers in exchange for contact details. This could or couldn’t imply interest, but a certain engagement with the brand still indicates awareness.</li>
<li>And at the bottom of the funnel, actions such as requesting a demo or asking for pricing charts tend to underscore a sales-ready lead.</li>
</ol>
<p>Here, the most crucial aspect to focus on is your lead scoring methodologies. It’s what guides the lead qualification framework. Each action that a prospect takes adds another point to their profile. This is at least the fundamentals. With growing complexities in consumers’ patterns, this method has turned more sophisticated. It’s up to savvy marketing and sales professionals to adapt.</p>
<p>But honestly, inbound prospecting focuses only on accounts that’ve shown some level of interest. It gets a bit simpler here. It works because these leads are warmer and already have a foundation to develop trust.</p>
<p><strong>How does inbound prospecting work?</strong></p>
<p>Inbound leads come to you. And now, it’s your job to qualify them according to their intent and behavioral signals. And then curate personalized nurture tracks to ensure that each account interacts further with your team, avoiding drop-offs and losing opportunities.</p>
<p>This is where social selling comes in handy. You transition from simply connecting with the relevant accounts to contributing to a community. You’re positioning your brand not just as a solution, but as a trusted resource in the industry.</p>
<p>As decision-makers, buyers value counter insights and opinions. You can position yourself as a credible thought leader who can provide the industry know-how and help them lean into diverse perspectives. This builds your reputation and credibility.</p>
<p>And positions you as an expert. This is why inbound prospecting greatly relies on thought leadership and demand generation tactics. It’s about building a brand and positioning it as a consultant, not a partner.</p>
<h4 class="wp-block-heading">2. Outbound prospecting</h4>
<p>Outbound prospecting is more proactive than inbound. It’s based on an Account-Based Engagement model. This strategy involves taking a more hyper-targeted approach where you identify a small number of highly relevant accounts and curate an omnichannel full-funnel campaign around them.</p>
<p>This includes every tiny touchpoint- from personalized emails and targeted ads to LinkedIn in-mailers aimed at diverse stakeholders on a single buying committee.</p>
<p><em>The crux?</em></p>
<p>Outbound is highly specific and ROI-driven. It isn’t about “see, here’s what my solution does,” but about your unique value proposition. You don’t start with product benefits, but research the company’s pain points, ask BANT questions, and then initiate communication with the buying account.</p>
<p>Outbound prospecting works best when you need to reach into a new market segment and communicate with prospects who aren’t aware of your brand yet. It’s more about elevating brand awareness and recognition than conversions.</p>
<p><strong>Outbound prospecting can be both cold and warm. It’s mostly a mix of both.</strong></p>
<p>Marketing has transcended transaction-driven image and plunged into being relationship-driven. This is what demands a problem-solving approach paired with warm follow-ups.</p>
<p>Cold calling or outreach is a problem-first strategy.</p>
<p>Your SDRs shouldn’t begin this with a sales pitch, but attempt to validate a hypothesis- and then it becomes a discovery call. You’re reaching beyond selling and making a genuine attempt to understand why this account might need your solution. This is where the warm touch comes in: following up on accounts that interacted with your LinkedIn post or subscribed to your newsletter.</p>
<p>Understanding and empathy- the two facets of outbound prospecting.</p>
<h2 class="wp-block-heading">A Healthy Sales Pipeline Demands Continuous Prospecting. And The Right Methodologies.</h2>
<p>The fundamental purpose of sales prospecting is to engage and guide potential customers into the sales pipeline.</p>
<p>But SDRs continue to perceive it as a numbers game. With this limited purview, prospecting turns into throwing multiple nets. It’s directionless. Stuck feeding their own sales quotas, your sales pipeline runs dry. And your bottom line shrinks.</p>
<p>So, think of the sales pipeline as a living organism. It requires, not merely prospects, but the right prospects to flourish. You cannot dial random numbers, hoping to convert at least one account in an ocean of your target accounts.</p>
<p>You must lean into different types of sales prospecting methodologies. This signifies a balance between inbound and outbound prospecting types. And ensuring enough clarity to build a value-driven framework-</p>
<p>One that helps inculcate deeper customer relationships and keeps your sales pipeline thriving.</p>
]]></content:encoded>
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<title>Invisible Technologies Raises $100 Million. Promises Next-Gen AI Infrastructure for Enterprises.</title>
<link>https://ciente.io/news/invisible-technologies-raises-100-million-promises-next-gen-ai-infrastructure-for-enterprises/</link>
<comments>https://ciente.io/news/invisible-technologies-raises-100-million-promises-next-gen-ai-infrastructure-for-enterprises/#respond</comments>
<dc:creator><![CDATA[Ciente Editorial Team]]></dc:creator>
<pubDate>Wed, 17 Sep 2025 17:52:27 +0000</pubDate>
<category><![CDATA[News]]></category>
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<guid isPermaLink="false">https://ciente.io/?p=42571</guid>
<description><![CDATA[Invisible Technologies has just raised $100 million in growth funding, and the number isn’t the headline. Most AI companies pitch the same gospel: plug in our model, run your data, watch the magic. Invisible doesn’t bother with that story. They’re building something far less glamorous and far more essential, the plumbing of AI. The messy, … <p class="link-more"><a href="https://ciente.io/news/invisible-technologies-raises-100-million-promises-next-gen-ai-infrastructure-for-enterprises/" class="more-link">Read More <span class="screen-reader-text"> "Invisible Technologies Raises $100 Million. Promises Next-Gen AI Infrastructure for Enterprises."</span></a></p>]]></description>
<content:encoded><![CDATA[
<blockquote class="wp-block-quote is-layout-flow wp-block-quote-is-layout-flow">
<p>Invisible Technologies has just raised <strong>$100 million</strong> in growth funding, and the number isn’t the headline.</p>
</blockquote>
<p>Most AI companies pitch the same gospel: plug in our model, run your data, watch the magic. Invisible doesn’t bother with that story. They’re building something far less glamorous and far more essential, the <strong>plumbing</strong> of AI. The messy, unsexy, but absolutely critical infrastructure that enterprises need if they want AI to actually work in the wild.</p>
<p>Think about it. Enterprises don’t run on clean, standardized data. They run on decades of legacy systems, contradictory processes, and edge cases that can kill efficiency. Drop a shiny new model into that environment, and it chokes. Invisible is trying to solve that choke point, taking AI “from A to B,” as they put it.</p>
<p>The funding round, led by Vanara Capital, brings Invisible’s total raise to <strong>$144 million</strong>. In parallel, their revenue doubled year-on-year to <strong>$134 million in 2024</strong>. And it says something simple: big organizations are desperate for AI that doesn’t just demo well but survives contact with reality.</p>
<p>Invisible brings its expansive stack to the table:</p>
<ol class="wp-block-list">
<li><strong>Neuron</strong> to wrangle chaotic data,</li>
<li><strong>Atomic</strong> to map how businesses actually operate,</li>
<li><strong>Synapse</strong> to keep models honest with feedback and evaluation,</li>
<li><strong>Axon</strong> to run the agents that do the work, and</li>
<li>A global <strong>Expert Marketplace</strong> to put humans where judgment still matters.</li>
</ol>
<p>Call it modular AI infrastructure. Call it an antidote to the “black box” trap. Either way, this isn’t hype. It’s the groundwork for AI at scale.</p>
<p>And that’s the real signal in this $100 million raise: the future of enterprise AI won’t be won by the flashiest demos, but by the companies building the pipes, the maps, and the muscle to make AI reliable where it counts. Invisible isn’t promising an AI that will act as the panacea for all problems.</p>
<p>They’re promising something rarer, an AI that actually works.</p>
]]></content:encoded>
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<title>Microsoft Introduces New Capabilities to Deliver Next-Level AI Readiness with Microsoft Fabric</title>
<link>https://ciente.io/news/microsoft-introduces-new-capabilities-to-deliver-next-level-ai-readiness-with-microsoft-fabric/</link>
<comments>https://ciente.io/news/microsoft-introduces-new-capabilities-to-deliver-next-level-ai-readiness-with-microsoft-fabric/#respond</comments>
<dc:creator><![CDATA[Ciente Editorial Team]]></dc:creator>
<pubDate>Wed, 17 Sep 2025 16:34:13 +0000</pubDate>
<category><![CDATA[News]]></category>
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<category><![CDATA[Marketing]]></category>
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<guid isPermaLink="false">https://ciente.io/?p=42568</guid>
<description><![CDATA[Businesses are moving from AI deployment to engineering it. It begs the question- are we AI-ready? Microsoft Fabric can make this challenge easier]]></description>
<content:encoded><![CDATA[
<blockquote class="wp-block-quote is-layout-flow wp-block-quote-is-layout-flow">
<p>Businesses are moving from AI deployment to engineering it. It begs the question- are we AI-ready? Microsoft Fabric can make this challenge easier</p>
</blockquote>
<p>“We are storytellers, we take the data and transform it into a clear, insightful story that drives action. I always say, numbers paint the picture, but it doesn’t tell the story; it’s up to us involved with the data to do that,” remarks a Business Analyst.</p>
<p>The crux? Data unification is imperative for AI-readiness.</p>
<p>It’s not just investing billions of dollars into the infrastructure and talent, and then letting AI steer the wheels. Truly diving into an AI-first future requires businesses to make an insightful and strategic use of the data at hand. It’s as every decision-maker asserts- data-driven strategies aren’t about all the data that you’ve at hand, but how you apply it.</p>
<p>Microsoft is adopting this philosophy, and as a step forward, revamping its next-gen data and analytics platform, Microsoft Fabric.</p>
<p>The goal is to transform how businesses interact with and leverage data at hand. This platform will streamline all organizational data for teams to convert it into actionable insights with full business context. For Fabric, your business isn’t just an immobile report full of numbers. It reads the whole context of your business and takes it as it is.</p>
<p>The tech giant has introduced new capabilities in Fabric to help business leaders amalgamate and make sense of their organizational data.</p>
<p>As we move from ideation to execution, sophisticated AI systems will require contextualized and rich data. But the point is, for these models, it’s not just numbers or random words, but a database of knowledge. And if it’s structured properly, it can facilitate these systems to connect, reason, and act with intent.</p>
<p>The need for organizing raw data has never been more apparent.</p>
<p>And as one hopes for smooth AI operations across organizations, smooth collaboration can only stem from connecting enterprise data. This will help teams to scale and exchange value through open data flows, introducing more actionable building blocks for AI adoption.</p>
<p>Microsoft Fabrics’ new capabilities aren’t just tools for data developers. They are strategic advantages for business leaders who wish to innovate and automate their in-house functions.</p>
<p>And instill lasting impact, through newfound efficiency and governance.</p>
]]></content:encoded>
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<title>Nothing raises $200 million funding, to launch AI-native devices next year</title>
<link>https://ciente.io/news/nothing-raises-200-million-funding-to-launch-ai-native-devices-next-year/</link>
<comments>https://ciente.io/news/nothing-raises-200-million-funding-to-launch-ai-native-devices-next-year/#respond</comments>
<dc:creator><![CDATA[Ciente Editorial Team]]></dc:creator>
<pubDate>Tue, 16 Sep 2025 17:21:59 +0000</pubDate>
<category><![CDATA[News]]></category>
<guid isPermaLink="false">https://ciente.io/?p=42535</guid>
<description><![CDATA[AI investments are booming- and Nothing, the new-age phone company, has put its name in the hat. They are producing AI-native devices, which sounds like the natural evolution of our smartphones. To this end, Nothing has raised $200 million. This funding round was led by Tiger Global, and partners like GV, Highland Europe, EQT, Latitude, … <p class="link-more"><a href="https://ciente.io/news/nothing-raises-200-million-funding-to-launch-ai-native-devices-next-year/" class="more-link">Read More <span class="screen-reader-text"> "Nothing raises $200 million funding, to launch AI-native devices next year"</span></a></p>]]></description>
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<blockquote class="wp-block-quote is-layout-flow wp-block-quote-is-layout-flow">
<p>AI investments are booming- and Nothing, the new-age phone company, has put its name in the hat.</p>
</blockquote>
<p>They are producing AI-native devices, which sounds like the natural evolution of our smartphones. To this end, Nothing has raised $200 million. This funding round was led by Tiger Global, and partners like GV, Highland Europe, EQT, Latitude, 12BF, Tapestry, Nikhil Kamath, and Qualcomm Ventures.</p>
<p>“Products that are available to the user at the moment of need, paired with intelligence that turns understanding into action. This is a very exciting time, imagining devices that capture context across modalities and generate interfaces on demand, shaped by what the user is trying to accomplish,” said Carl Pei, CEO and Co-founder of Nothing.</p>
<p>The devices Nothing creates are poetry in motion; however, their recent launch, The Nothing Phone 3, was criticized for its price point and specifications.</p>
<p>Some critics argued that they focused too much on the external design and less on the internal specs- something that Nothing’s fans are passionate about.</p>
<p>However, Carl Pei is known to take criticism and improve on his designs. The 2a was a fantastic phone for its price range and was beautifully designed. The organization deserves the hype behind it, and with their track record, these AI-native devices would be beautiful to look at.</p>
<h2 class="wp-block-heading">But they must balance this with internal specs and features to match it.</h2>
<p>Nothing has to find a harmony with its aesthetics and functionality- again achieved by the 2a. Its software was created to complement the hardware. This means the organization knows what to do and might be assessing how the market reacts to different kinds of offers.</p>
<h2 class="wp-block-heading">But what is AI-Native?</h2>
<p>While investors are excited about AI’s potential, how will these AI-native devices function, and what do they mean?</p>
<p>The reports of an AI bubble have made investors cautious.</p>
<p>Because the question is: beyond the software, how can AI be used to augment and transform hardware?</p>
<p>Any organization that comes up with a definitive answer will be counted in the same league as OpenAI, a pioneer. But that is yet to be seen.</p>
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