#proposal automation software
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kytesbyproductdossier · 8 months ago
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Transforming Proposal Management with Kytes: Automate and Win More Deals
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In today’s competitive business landscape, creating compelling and accurate proposals quickly can be the key to winning new clients. For many companies, however, the proposal process is time-consuming, labor-intensive, and prone to errors. This is where Kytes PSA steps in, transforming how businesses manage proposals with automation, helping you streamline the process and close more deals.
Why Automate Proposal Management? Manual proposal creation is not only time-consuming but also susceptible to mistakes such as inconsistent pricing or outdated project details. These issues can delay the proposal process, leading to missed opportunities and a negative impact on your credibility. With Kytes PSA’s proposal automation, businesses can generate customized, accurate proposals in a fraction of the time. By automating key aspects of the process, you can focus on what truly matters: winning deals and building relationships.
Key Benefits of Kytes PSA Proposal Automation Speed and Efficiency Kytes PSA allows you to create proposals quickly by automatically pulling relevant data from integrated systems like ERP and CRM. This reduces manual input, shortens turnaround times, and ensures that your proposals are sent out faster than your competitors.
Accuracy and Consistency By automating the data entry process, Kytes PSA ensures that every proposal is consistent, accurate, and up-to-date. You’ll eliminate costly mistakes and provide a professional, polished proposal every time.
Customization at Scale Despite the automation, Kytes PSA allows for deep customization. You can easily tailor proposals to fit the unique needs of each client while maintaining the efficiency of automated processes.
Conclusion With Kytes PSA, proposal automation becomes a strategic asset for your business. By streamlining proposal management, increasing accuracy, and improving speed, Kytes PSA enables you to win more deals and drive business growth effortlessly. Transform your proposal process today and start closing more deals with Kytes PSA.
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av-industry-blog · 1 year ago
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🎤✨ Unleash the Power of AV Creativity with x.doc! 🌟🎬
Hey Tumblr fam, ready to level up your AV game? 🚀🔊 Say hello to x.doc – your all-in-one solution for crafting winning audio-visual proposals! 🎉📽️
🚀 Why x.doc? Here's the scoop: 🚀
🌈 Automate Your Awesomeness: No more tedious document creation! x.doc automates the AV proposal process, letting you focus on what you do best – bringing ideas to life! 🤖💡
📊 Seamless Collaboration: Work like never before! x.doc ensures smooth collaboration among your team, making creativity a shared experience. 🤝🔗
📸 Visual Brilliance: Elevate your proposals with stunning visuals! x.doc's intuitive interface lets you create jaw-dropping presentations that leave a lasting impression. 🎨👀
💼 Winning Proposals, Every Time: Impress clients and win projects with professional, polished proposals. x.doc gives you the edge in the competitive world of AV presentations! 🏆🎤
🌐 Anywhere, Anytime Access: Access your proposals on the go! x.doc syncs seamlessly across devices, ensuring you're always ready to showcase your next big idea. 📱✈️
🎉 Ready to Upgrade? Dive into the Future of AV Proposals with x.doc! 🚀🎬 Learn more at Audio Visual Proposal Software | Create Winning AV Proposals - x.doc (xtenav.com)
Spread the word, reblog, and let's transform the AV game together! 🌟🔥 #xdoc #AVProposals #CreativeAutomation #TechInnovation #AudioVisualMagic
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miclient · 2 years ago
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Navigating the B2B Sales Landscape: Overcoming Common Obstacles with Ease
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In the world of B2B sales, success often hinges on the ability to navigate and overcome various obstacles that can hinder your progress. From fierce competition to decision-making delays, these challenges can test even the most seasoned sales professionals. However, armed with the right strategies and a proactive mindset, you can overcome these hurdles and achieve your sales targets. In this article, we will explore five common B2B sales obstacles and provide actionable tips on how to overcome them.
1. Identifying the Decision Maker
First challenge in B2B sales is identifying the right decision maker within a company. With multiple stakeholders involved in the buying process, it's essential to pinpoint the person with the authority to make purchasing decisions.
 To overcome this obstacle, invest time in research and utilize networking tools to uncover key contacts. Building relationships with gatekeepers and influencers can also help you gain access to decision makers. Additionally, creating compelling content and presentations that resonate with various stakeholders can facilitate buy-in from the entire team.
2. Long sales cycles
One of the biggest challenges in B2B sales is the long sales cycle. It can take months or even years to close a deal with enterprise customer. This can be frustrating for salespeople, who may feel like they are not making any progress. To reduce your sales cycle period, try implementing a sales automation solution for your business, such as MiCLIENT.
3. Handling Price Objections
Price objections are a common obstacle faced by B2B sales professionals. When prospects express concerns about pricing, it's crucial to focus on the value and return on investment your product or service offers. Highlight the long-term benefits, cost savings, and potential revenue growth that your solution can deliver.
Utilize case studies and success stories to demonstrate the value you've provided to similar clients. Additionally, offer flexible pricing options or discounts when feasible, ensuring that you address any financial concerns your prospects may have.
4. Dealing with Competition
Competition is a constant reality in the B2B sales landscape. To stand out from the crowd, differentiate yourself by showcasing your unique selling points and competitive advantages. Thoroughly understand your competitors' offerings and articulate why your solution is superior.
Tailor your sales pitch to address your prospects' pain points directly and emphasize how your product or service can solve their specific challenges more effectively. Building strong relationships with your existing customers and leveraging their testimonials can also provide a powerful endorsement of your solution's superiority.
5. Overcoming Decision-Making Delays
B2B sales cycles can be long, often marked by decision-making delays. To minimize these delays, establish clear timelines and expectations with your prospects early on in the sales process. Ensure that you have a deep understanding of their decision-making processes, identify potential roadblocks, and proactively address them.
Regularly follow up with your prospects and provide additional information or resources as needed. By maintaining consistent communication and demonstrating your commitment to their success, you can reduce decision-making delays and keep the sales process moving forward.
6. Building Trust and Relationships
Building strong relationships with your prospects and clients requires consistent communication, active listening, and genuine empathy. Take the time to understand their unique needs and tailor your solutions accordingly.
Offer valuable insights and thought leadership through personalized content and engaging interactions. Investing in long-term relationships rather than focusing solely on immediate sales can help you earn trust, enhance customer loyalty, and pave the way for future business opportunities.
Key Takeaways
B2B sales can be a challenging endeavor, but with a proactive approach and the right strategies, you can overcome common obstacles and achieve success. Embrace these challenges as opportunities for growth, continuously adapt your approach, and consistently provide value to your prospects and clients. With persistence and determination, you can thrive in the B2B sales arena.
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pdqdocs · 3 months ago
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Document Automation Software for Small Business: Streamline Workflows and Reduce Errors
Efficiency and accuracy are critical in today’s fast-paced and competitive business landscape. Small businesses, solo practitioners, and law firms often find themselves overwhelmed by the volume of documents they need to manage while striving to provide exceptional client service.
PDQDocs offers powerful and user-friendly document generation software for small businesses that enables businesses to streamline workflows and focus on what matters most. It offers an innovative solution for small businesses and law firms. Streamlining document workflows, enhancing efficiency, and reducing errors, empower professionals to focus on core areas of their service.
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Key Advantages of Document Automation
Using document automation software offers numerous benefits for small businesses such as-
Faster Document Creation - Automating document drafting reduces the time spent on creating documents, allowing professionals to focus on more critical tasks.
Minimized Errors - Automated templates help eliminate inconsistencies and reduce the likelihood of mistakes, ensuring that documents meet optimal standards.
Improved Client Satisfaction - With quicker turnaround times and higher accuracy, client satisfaction naturally increases.
Increased Efficiency - Automation allows staff to allocate their time to strategic initiatives rather than repetitive paperwork.
Why Choose PDQDocs?
Document Automation Software for Law Firms
Legal professionals manage a myriad of documents daily, including contracts, estate planning documents, court filings, and client communications. Drafting each document manually can be time-consuming and prone to errors. It simplifies the document creation process, significantly reducing manual effort while ensuring accuracy, consistency, and efficiency.
Centralized Document Management
Managing and generating documents can quickly become overwhelming. PDQDocs, an innovative document generation software for small business provides a centralized platform where professionals can store, edit, and track all their documents. This allows for seamless management of templates, drafts, and finalized documents so that client interactions and documentation remain organized and efficient.
Powerful and Seamless Automation Features
It significantly reduces time spent on repetitive paperwork by allowing professionals to set up templates for recurring documents. It automates data input, bringing consistency and accuracy while eliminating manual errors in official documentation. Additionally, the software allows users to send documents directly from the platform via email, enhancing communication efficiency.
User-Friendly and Easy to Use
Understanding that many professionals may not be tech-savvy, it is designed for simplicity. Its intuitive interface allows users to quickly learn how to create and manage documents with minimal training. Users can create and customize an unlimited number of templates for various purposes, efficiently managing multiple clients and their respective documentation.
Innovative Desktop Software for Document Generation
Efficient document management is essential for productivity, compliance, and security. PDQDocs serves as a robust document generation software for small business providing a centralized platform for storing, sharing, tracking, and managing documents. Without an efficient DMS, law professionals often find themselves bogged down by manual tasks, hindering productivity and business growth.
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reports123 · 2 years ago
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mostlysignssomeportents · 2 months ago
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Every complex ecosystem has parasites
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I'm on a 20+ city book tour for my new novel PICKS AND SHOVELS. Catch me at NEW ZEALAND'S UNITY BOOKS in AUCKLAND on May 2, and in WELLINGTON on May 3. More tour dates (Pittsburgh, PDX, London, Manchester) here.
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Patrick "patio11" McKenzie is a fantastic explainer, the kind of person who breaks topics down in ways that stay with you, and creep into your understanding of other subjects, too. Take his 2022 essay, "The optimal amount of fraud is non-zero":
https://www.bitsaboutmoney.com/archive/optimal-amount-of-fraud/
It's a very well-argued piece, and here's the nut of it:
The marginal return of permitting fraud against you is plausibly greater than zero, and therefore, you should welcome greater than zero fraud.
In other words, if you allow some fraud, you will also allow through a lot of non-fraudulent business that would otherwise trip your fraud meter. Or, put it another way, the only way to prevent all fraud is to chase away a large proportion of your customers, whose transactions are in some way abnormal or unexpected.
Another great explainer is Bruce Schneier, the security expert. In the wake of 9/11, lots of pundits (and senior government officials) ran around saying, "No price is too high to prevent another terrorist attack on our aviation system." Schneier had a foolproof way of shutting these fools up: "Fine, just ground all civilian aircraft, forever." Turns out, there is a price that's too high to pay for preventing air-terrorism.
Latent in these two statements is the idea that the most secure systems are simple, and while simplicity is a fine goal to strive for, we should always keep in mind the maxim attributed to Einstein, "Everything should be made as simple as possible, but not simpler." That is to say, some things are just complicated.
20 years ago, my friend Kathryn Myronuk and I were talking about the spam wars, which were raging at the time. The spam wars were caused by the complexity of email: as a protocol (rather than a product), email is heterogenuous. There are lots of different kinds of email servers and clients, and many different ways of creating and rendering an email. All this flexibility makes email really popular, and it also means that users have a wide variety of use-cases for it. As a result, identifying spam is really hard. There's no reliable automated way of telling whether an email is spam or not – you can't just block a given server, or anyone using a kind of server software, or email client. You can't choose words or phrases to block and only block spam.
Many solutions were proposed to this at the height of the spam wars, and they all sucked, because they all assumed that the way the proposer used email was somehow typical, thus we could safely build a system to block things that were very different from this "typical" use and not catch too many dolphins in our tuna nets:
https://craphound.com/spamsolutions.txt
So Kathryn and I were talking about this, and she said, "Yeah, all complex ecosystems have parasites." I was thunderstruck. The phrase entered my head and never left. I even gave a major speech with that title later that year, at the O'Reilly Emerging Technology Conference:
https://craphound.com/complexecosystems.txt
Truly, a certain degree of undesirable activity is the inevitable price you pay once you make something general purpose, generative, and open. Open systems – like the web, or email – succeed because they are so adaptable, which means that all kinds of different people with different needs find ways to make use of them. The undesirable activity in open systems is, well, undesirable, and it's valid and useful to try to minimize it. But minimization isn't the same as elimination. "The optimal amount of fraud is non-zero," because "everything should be made as simple as possible, but not simpler." Complexity is generative, but "all complex ecosystems have parasites."
America is a complex system. It has, for example, a Social Security apparatus that has to serve more than 65 million people. By definition, a cohort of 65 million people will experience 65 one-in-a-million outliers every day. Social Security has to accommodate 65 million variations on the (surprisingly complicated) concept of a "street address":
https://gist.github.com/almereyda/85fa289bfc668777fe3619298bbf0886
It will have to cope with 65 million variations on the absolutely, maddeningly complicated idea of a "name":
https://www.kalzumeus.com/2010/06/17/falsehoods-programmers-believe-about-names/
In cybernetics, we say that a means of regulating a system must be capable of representing as many states as the system itself – that is, if you're building a control box for a thing with five functions, the box needs at least five different settings:
http://pespmc1.vub.ac.be/REQVAR.html
So when we're talking about managing something as complicated as Social Security, we need to build a Social Security Administration that is just as complicated. Anything that complicated is gonna have parasites – once you make something capable of managing the glorious higgeldy piggeldy that is the human experience of names, dates of birth, and addresses, you will necessarily create exploitable failure modes that bad actors can use to steal Social Security. You can build good fraud detection systems (as the SSA has), and you can investigate fraud (as the SSA does), and you can keep this to a manageable number – in the case of the SSA, that number is well below one percent:
https://www.congress.gov/crs_external_products/IF/PDF/IF12948/IF12948.2.pdf
But if you want to reduce Social Security fraud from "a fraction of one percent" to "zero percent," you can either expend a gigantic amount of money (far more than you're losing to fraud) to get a little closer to zero – or you can make Social Security far simpler. For example, you could simply declare that anyone whose life and work history can't fit in a simple database schema is not eligible for Social Security, kick tens of millions of people off the SSI rolls, and cause them to lose their homes and starve on the streets. This isn't merely cruel, it's also very, very expensive, since homelessness costs the system far more than Social Security. The optimum amount of fraud is non-zero.
Conservatives hate complexity. That's why the Trump administration banned all research grants for proposals that contained the word "systemic" (as a person with so-far-local cancer, I sure worry about what happens when and if my lymphoma become systemic). I once described the conservative yearning for "simpler times," as a desire to be a child again. After all, the thing that made your childhood "simpler" wasn't that the world was less complicated – it's that your parents managed that complexity and shielded you from it. There's always been partner abuse, divorce, gender minorities, mental illness, disability, racial discrimination, geopolitical crises, refugees, and class struggle. The only people who don't have to deal with this stuff are (lucky) children.
Complexity is an unavoidable attribute of all complicated processes. Evolution is complicated, so it produces complexity. It's convenient to think about a simplified model of genes in which individual genes produce specific traits, but it turns out genes all influence each other, are influenced in turn by epigenetics, and that developmental factors play a critical role in our outcomes. From eye-color to gender, evolution produces spectra, not binaries. It's ineluctably (and rather gloriously) complicated.
The conservative project to insist that things can be neatly categorized – animal or plant, man or woman, planet or comet – tries to take graceful bimodal curves and simplify them into a few simple straight lines – one or zero (except even the values of the miniature transistors on your computer's many chips are never at "one" or "zero" – they're "one-ish" and "mostly zero").
Like Social Security, fraud in the immigration system is a negligible rounding error. The US immigration system is a baroque, ramified, many-tendriled thing (I have the receipts from the immigration lawyers who helped me get a US visa, a green card, and citizenship to prove it). It is already so overweighted with pitfalls and traps for the unwary that a good immigration lawyer might send you to apply for a visa with 600 pages of documentation (the most I ever presented) just to make sure that every possible requirement is met:
https://www.flickr.com/photos/doctorow/2242342898/in/photolist-zp6PxJ-4q9Aqs-2nVHTZK-2pFKHyf
After my decades of experience with the US immigration system, I am prepared to say that the system is now at a stage where it is experiencing sharply diminishing returns from its anti-fraud systems. The cost of administering all this complexity is high, and the marginal amount of fraud caught by any new hoop the system gins up for migrants to jump through will round to zero.
Which poses a problem for Trump and trumpists: having whipped up a national panic about out of control immigration and open borders, the only way to make the system better at catching the infinitesimal amount of fraud it currently endures is to make the rules simpler, through the blunt-force tactic of simply excluding people who should be allowed in the country. For example, you could ban college kids planning to spend the summer in the US on the grounds that they didn't book all their hotels in advance, because they're planning to go from city to city and wing it:
https://www.newsweek.com/germany-tourists-deported-hotel-maria-lepere-charlotte-pohl-hawaii-2062046
Or you could ban the only research scientist in the world who knows how to interpret the results of the most promising new cancer imaging technology because a border guard was confused about the frog embryos she was transporting (she's been locked up for two months now):
https://www.msn.com/en-us/health/other/horrified-harvard-scientists-ice-arrest-leaves-cancer-researchers-scrambling/ar-AA1DlUt8
Of course, the US has long operated a policy of "anything that confuses a border guard is grounds for being refused entry" but the Trump administration has turned the odd, rare outrage into business-as-usual.
But they can lock up or turn away as many people as they want, and they still won't get the amount of fraud to zero. The US is a complicated place. People have complicated reasons for entering the USA – work, family reunion, leisure, research, study, and more. The only immigration system that doesn't leak a little at the seams is an immigration system that is so simple that it has no seams – a toy immigration system for a trivial country in which so little is going on that everything is going on.
The only garden without weeds is a monoculture under a dome. The only email system without spam is a closed system managed by one company that only allows a carefully vetted cluster of subscribers to communicate with one another. The only species with just two genders is one wherein members who fit somewhere else on the spectrum are banished or killed, a charnel process that never ends because there are always newborns that are outside of the first sigma of the two peaks in the bimodal distribution.
A living system – a real country – is complicated. It's a system, where people do things you'll never understand for perfectly good reasons (and vice versa). To accommodate all that complexity, we need complex systems, and all complex ecosystems have parasites. Yes, you can burn the rainforest to the ground and planting monocrops in straight rows, but then what you have is a farm, not a forest, vulnerable to pests and plagues and fire and flood. Complex systems have parasites, sure, but complex systems are resilient. The optimal level of fraud is never zero, because a system that has been simplified to the point where no fraud can take place within it is a system that is so trivial and brittle as to be useless.
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If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:
https://pluralistic.net/2025/04/24/hermit-kingdom/#simpler-times
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jcmarchi · 4 months ago
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Ganesh Shankar, CEO & Co-Founder of Responsive – Interview Series
New Post has been published on https://thedigitalinsider.com/ganesh-shankar-ceo-co-founder-of-responsive-interview-series/
Ganesh Shankar, CEO & Co-Founder of Responsive – Interview Series
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Ganesh Shankar, CEO and Co-Founder of Responsive, is an experienced product manager with a background in leading product development and software implementations for Fortune 500 enterprises. During his time in product management, he observed inefficiencies in the Request for Proposal (RFP) process—formal documents organizations use to solicit bids from vendors, often requiring extensive, detailed responses. Managing RFPs traditionally involves multiple stakeholders and repetitive tasks, making the process time-consuming and complex.
Founded in 2015 as RFPIO, Responsive was created to streamline RFP management through more efficient software solutions. The company introduced an automated approach to enhance collaboration, reduce manual effort, and improve efficiency. Over time, its technology expanded to support other complex information requests, including Requests for Information (RFIs), Due Diligence Questionnaires (DDQs), and security questionnaires.
Today, as Responsive, the company provides solutions for strategic response management, helping organizations accelerate growth, mitigate risk, and optimize their proposal and information request processes.
What inspired you to start Responsive, and how did you identify the gap in the market for response management software?
My co-founders and I founded Responsive in 2015 after facing our own struggles with the RFP response process at the software company we were working for at the time. Although not central to our job functions, we dedicated considerable time assisting the sales team with requests for proposals (RFPs), often feeling underappreciated despite our vital role in securing deals. Frustrated with the lack of technology to make the RFP process more efficient, we decided to build a better solution.  Fast forward nine years, and we’ve grown to nearly 500 employees, serve over 2,000 customers—including 25 Fortune 100 companies—and support nearly 400,000 users worldwide.
How did your background in product management and your previous roles influence the creation of Responsive?
As a product manager, I was constantly pulled by the Sales team into the RFP response process, spending almost a third of my time supporting sales instead of focusing on my core product management responsibilities. My two co-founders experienced a similar issue in their technology and implementation roles. We recognized this was a widespread problem with no existing technology solution, so we leveraged our almost 50 years of combined experience to create Responsive. We saw an opportunity to fundamentally transform how organizations share information, starting with managing and responding to complex proposal requests.
Responsive has evolved significantly since its founding in 2015. How do you maintain the balance between staying true to your original vision and adapting to market changes?
First, we’re meticulous about finding and nurturing talent that embodies our passion – essentially cloning our founding spirit across the organization. As we’ve scaled, it’s become critical to hire managers and team members who can authentically represent our core cultural values and commitment.
At the same time, we remain laser-focused on customer feedback. We document every piece of input, regardless of its size, recognizing that these insights create patterns that help us navigate product development, market positioning, and any uncertainty in the industry. Our approach isn’t about acting on every suggestion, but creating a comprehensive understanding of emerging trends across a variety of sources.
We also push ourselves to think beyond our immediate industry and to stay curious about adjacent spaces. Whether in healthcare, technology, or other sectors, we continually find inspiration for innovation. This outside-in perspective allows us to continually raise the bar, inspiring ideas from unexpected places and keeping our product dynamic and forward-thinking.
What metrics or success indicators are most important to you when evaluating the platform’s impact on customers?
When evaluating Responsive’s impact, our primary metric is how we drive customer revenue. We focus on two key success indicators: top-line revenue generation and operational efficiency. On the efficiency front, we aim to significantly reduce RFP response time – for many, we reduce it by 40%. This efficiency enables our customers to pursue more opportunities, ultimately accelerating their revenue generation potential.
How does Responsive leverage AI and machine learning to provide a competitive edge in the response management software market?
We leverage AI and machine learning to streamline response management in three key ways. First, our generative AI creates comprehensive proposal drafts in minutes, saving time and effort. Second, our Ask solution provides instant access to vetted organizational knowledge, enabling faster, more accurate responses. Third, our Profile Center helps InfoSec teams quickly find and manage security content.
With over $600 billion in proposals managed through the Responsive platform and four million Q&A pairs processed, our AI delivers intelligent recommendations and deep insights into response patterns. By automating complex tasks while keeping humans in control, we help organizations grow revenue, reduce risk, and respond more efficiently.
What differentiates Responsive’s platform from other solutions in the industry, particularly in terms of AI capabilities and integrations?
Since 2015, AI has been at the core of Responsive, powering a platform trusted by over 2,000 global customers. Our solution supports a wide range of RFx use cases, enabling seamless collaboration, workflow automation, content management, and project management across teams and stakeholders.
With key AI capabilities—like smart recommendations, an AI assistant, grammar checks, language translation, and built-in prompts—teams can deliver high-quality RFPs quickly and accurately.
Responsive also offers unmatched native integrations with leading apps, including CRM, cloud storage, productivity tools, and sales enablement. Our customer value programs include APMP-certified consultants, Responsive Academy courses, and a vibrant community of 1,500+ customers sharing insights and best practices.
Can you share insights into the development process behind Responsive’s core features, such as the AI recommendation engine and automated RFP responses?
Responsive AI is built on the foundation of accurate, up-to-date content, which is critical to the effectiveness of our AI recommendation engine and automated RFP responses. AI alone cannot resolve conflicting or incomplete data, so we’ve prioritized tools like hierarchical tags and robust content management to help users organize and maintain their information. By combining generative AI with this reliable data, our platform empowers teams to generate fast, high-quality responses while preserving credibility. AI serves as an assistive tool, with human oversight ensuring accuracy and authenticity, while features like the Ask product enable seamless access to trusted knowledge for tackling complex projects.
How have advancements in cloud computing and digitization influenced the way organizations approach RFPs and strategic response management?
Advancements in cloud computing have enabled greater efficiency, collaboration, and scalability. Cloud-based platforms allow teams to centralize content, streamline workflows, and collaborate in real time, regardless of location. This ensures faster turnaround times and more accurate, consistent responses.
Digitization has also enhanced how organizations manage and access their data, making it easier to leverage AI-powered tools like recommendation engines and automated responses. With these advancements, companies can focus more on strategy and personalization, responding to RFPs with greater speed and precision while driving better outcomes.
Responsive has been instrumental in helping companies like Microsoft and GEODIS streamline their RFP processes. Can you share a specific success story that highlights the impact of your platform?
Responsive has played a key role in supporting Microsoft’s sales staff by managing and curating 20,000 pieces of proposal content through its Proposal Resource Library, powered by Responsive AI. This technology enabled Microsoft’s proposal team to contribute $10.4 billion in revenue last fiscal year. Additionally, by implementing Responsive, Microsoft saved its sellers 93,000 hours—equivalent to over $17 million—that could be redirected toward fostering stronger customer relationships.
As another example of  Responsive providing measurable impact, our customer Netsmart significantly improved their response time and efficiency by implementing Responsive’s AI capabilities. They achieved a 10X faster response time, increased proposal submissions by 67%, and saw a 540% growth in user adoption. Key features such as AI Assistant, Requirements Analysis, and Auto Respond played crucial roles in these improvements. The integration with Salesforce and the establishment of a centralized Content Library further streamlined their processes, resulting in a 93% go-forward rate for RFPs and a 43% reduction in outdated content. Overall, Netsmart’s use of Responsive’s AI-driven platform led to substantial time savings, enhanced content accuracy, and increased productivity across their proposal management operations.
JAGGAER, another Responsive customer, achieved a double-digit win-rate increase and 15X ROI by using Responsive’s AI for content moderation, response creation, and Requirements Analysis, which improved decision-making and efficiency. User adoption tripled, and the platform streamlined collaboration and content management across multiple teams.
Where do you see the response management industry heading in the next five years, and how is Responsive positioned to lead in this space?
In the next five years, I see the response management industry being transformed by AI agents, with a focus on keeping humans in the loop. While we anticipate around 80 million jobs being replaced, we’ll simultaneously see 180 million new jobs created—a net positive for our industry.
Responsive is uniquely positioned to lead this transformation. We’ve processed over $600 billion in proposals and built a database of almost 4 million Q&A pairs. Our massive dataset allows us to understand complex patterns and develop AI solutions that go beyond simple automation.
Our approach is to embrace AI’s potential, finding opportunities for positive outcomes rather than fearing disruption. Companies with robust market intelligence, comprehensive data, and proven usage will emerge as leaders, and Responsive is at the forefront of that wave. The key is not just implementing AI, but doing so strategically with rich, contextual data that enables meaningful insights and efficiency.
Thank you for the great interview, readers who wish to learn more should visit Responsive,
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stuarttechnologybob · 28 days ago
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What is the difference between CPQ & RLM?
Revenue Cycle Management Services
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In today's fast-moving healthcare and enterprise environments, understanding the difference between CPQ and RLM is essential, especially when these tools impact operations like Revenue Cycle Management. Although both the CPQ and RLM help to optimize processes, they serve very different functions but are aligned toward the business segment.
CPQ – Configure, Price, Quote:
CPQ stands for Configure, Price, Quote. It's a sales tool that helps companies quickly and accurately generate quotes for products or services they are offering. CPQ is a valuable product in industries with complex pricing models or customizable offerings—such as medical equipment, software solutions, or enterprise services.
With CPQ, sales teams can:
Select product features and (configure) as per its requirements
Apply pricing rules and discounts (price) for better product briefing
Generate accurate proposals or quotes (quote) for better outcomes
By automating this process, CPQ reduces errors, speeds up the sales cycle and which eventually boost up the revenue as the ultimate goal, and ensures that pricing is consistent and aligned with company policies and as per its set standards and desired objectives.
RLM – Revenue Lifecycle Management:
On the other hand, revenue Lifecycle Management (RLM) focuses and starves to look at managing and optimizing things at every stage of the revenue process. In healthcare, this is closely tied to Revenue Cycle Management—as a system that oversees the patient billing, insurance claims, payments, and collections. 
RLM looks at the broader picture, including:
Contract management
Billing and invoicing
Revenue recognition or recollection
Renewals and upsells of listings
RLM ensures and seeks that the revenue is tracked, reported, and optimized as per the given concern from when a contract begins until the revenue is fully realized or settled out. In healthcare, it's critical for improving financial health, assuring compliance, and reducing revenue leakage as a protective measure.
Key Differences -
CPQ is sales-focused, helping generate quotes and close deals faster as a better option for the users to roll out.
RLM is revenue-focused, ensuring smooth handling and assessment of all financial processes post-sale and after it gets done.
CPQ comes into play at the beginning of the customer journey, while RLM continues throughout the customer lifecycle as they both work as a part of the set system.
Many advanced providers and professionals experts of Revenue Cycle Management, like Suma Soft, IBM, Cyntexa, and Cignex, offer tailored RLM solutions and Revenue Cycle Management services that integrate with CPQ systems. This creates a seamless flow from quoting to revenue realization, making operations more efficient and profitable.
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apexbyte · 3 months ago
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What is artificial intelligence (AI)?
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Imagine asking Siri about the weather, receiving a personalized Netflix recommendation, or unlocking your phone with facial recognition. These everyday conveniences are powered by Artificial Intelligence (AI), a transformative technology reshaping our world. This post delves into AI, exploring its definition, history, mechanisms, applications, ethical dilemmas, and future potential.
What is Artificial Intelligence? Definition: AI refers to machines or software designed to mimic human intelligence, performing tasks like learning, problem-solving, and decision-making. Unlike basic automation, AI adapts and improves through experience.
Brief History:
1950: Alan Turing proposes the Turing Test, questioning if machines can think.
1956: The Dartmouth Conference coins the term "Artificial Intelligence," sparking early optimism.
1970s–80s: "AI winters" due to unmet expectations, followed by resurgence in the 2000s with advances in computing and data availability.
21st Century: Breakthroughs in machine learning and neural networks drive AI into mainstream use.
How Does AI Work? AI systems process vast data to identify patterns and make decisions. Key components include:
Machine Learning (ML): A subset where algorithms learn from data.
Supervised Learning: Uses labeled data (e.g., spam detection).
Unsupervised Learning: Finds patterns in unlabeled data (e.g., customer segmentation).
Reinforcement Learning: Learns via trial and error (e.g., AlphaGo).
Neural Networks & Deep Learning: Inspired by the human brain, these layered algorithms excel in tasks like image recognition.
Big Data & GPUs: Massive datasets and powerful processors enable training complex models.
Types of AI
Narrow AI: Specialized in one task (e.g., Alexa, chess engines).
General AI: Hypothetical, human-like adaptability (not yet realized).
Superintelligence: A speculative future AI surpassing human intellect.
Other Classifications:
Reactive Machines: Respond to inputs without memory (e.g., IBM’s Deep Blue).
Limited Memory: Uses past data (e.g., self-driving cars).
Theory of Mind: Understands emotions (in research).
Self-Aware: Conscious AI (purely theoretical).
Applications of AI
Healthcare: Diagnosing diseases via imaging, accelerating drug discovery.
Finance: Detecting fraud, algorithmic trading, and robo-advisors.
Retail: Personalized recommendations, inventory management.
Manufacturing: Predictive maintenance using IoT sensors.
Entertainment: AI-generated music, art, and deepfake technology.
Autonomous Systems: Self-driving cars (Tesla, Waymo), delivery drones.
Ethical Considerations
Bias & Fairness: Biased training data can lead to discriminatory outcomes (e.g., facial recognition errors in darker skin tones).
Privacy: Concerns over data collection by smart devices and surveillance systems.
Job Displacement: Automation risks certain roles but may create new industries.
Accountability: Determining liability for AI errors (e.g., autonomous vehicle accidents).
The Future of AI
Integration: Smarter personal assistants, seamless human-AI collaboration.
Advancements: Improved natural language processing (e.g., ChatGPT), climate change solutions (optimizing energy grids).
Regulation: Growing need for ethical guidelines and governance frameworks.
Conclusion AI holds immense potential to revolutionize industries, enhance efficiency, and solve global challenges. However, balancing innovation with ethical stewardship is crucial. By fostering responsible development, society can harness AI’s benefits while mitigating risks.
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johnyqt · 3 months ago
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Week 1: Introduction to Software Design and Engineering
January 13-17, 2025
This week marked the start of our Software Design and Engineering course. Our first session was on Monday, where our instructor introduced the course, outlining expectations and objectives for the semester. Afterward, we were divided into teams, and I chose to collaborate with my former classmates. Our first task was to brainstorm project ideas that leverage technology to solve real-world problems while also having business potential.
Exploring Project Ideas
One of our initial ideas was an Order Queueing Web App for internet cafes. We recognized a common issue—gamers often need to pause their game to place food orders, which can be disruptive for them and inefficient for the staff. Our proposed solution was a web app that allows customers to browse the menu and place orders directly from their gaming stations, with real-time notifications sent to the cashier to ensure a seamless experience.
We also considered a Job Hunting Website, but we soon realized that its broad scope would be difficult to manage within our timeframe. After further discussion, we pivoted to a more practical option: a Smart Inventory Management System for Small Businesses. This system would enable businesses to monitor inventory in real time, receive alerts for low stock, generate sales analytics, and automate reports—effectively addressing common challenges like overstocking, shortages, and inefficient tracking.
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To better understand user needs, we conducted interviews with potential users. We visited Virtual Grounds, an internet cafe, to observe how customers and staff handled food orders. Additionally, we stopped by Minute Burger, a burger shop, to learn about inventory management challenges. These interviews provided us with valuable insights and helped refine our proposed solutions.
During class, we presented both project ideas. After discussing their feasibility and impact, we officially decided to move forward with the Smart Inventory Management System as our final project. It stood out as a more practical and scalable solution, with a clear market need and strong alignment with our course objectives.
With the first week behind us, we’re eager to dive into the planning and development phase. Excited for what’s next!
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midgeos · 4 months ago
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Freelancer Pro AI Honest Review (with Discount)
If you're looking to streamline your freelancing business, boost productivity, and land more clients, Get Freelancer Pro AI is a game-changer.
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This tool is designed to help freelancers automate tasks, create professional proposals, and manage projects efficiently. Here's my honest review after testing it out:
What is GetFreelancerPro AI?
GetFreelancerPro AI is an AI-powered software tailored for freelancers. It helps you:
Automate client communication with AI-generated responses.
Create winning proposals in minutes.
Track projects and deadlines effortlessly.
Generate invoices and contracts with ease.
It’s perfect for freelancers in any niche, whether you're a writer, designer, developer, or consultant.
Key Features
AI Proposal Generator: Craft professional, customized proposals in seconds.
Client Management: Organize client details, project requirements, and deadlines in one place.
Automated Invoicing: Create and send invoices with just a few clicks.
Task Automation: Save time by automating repetitive tasks like follow-ups and reminders.
Templates Library: Access pre-built templates for proposals, contracts, and emails.
Pros
User-Friendly Interface: Even if you're not tech-savvy, the platform is easy to navigate.
Time-Saving: Automating tasks frees up hours to focus on actual work.
Affordable Pricing: With the discount link (GetFreelancerPro AI Discount), it’s a steal for the value it provides.
Versatile: Works for freelancers across various industries.
Cons
Learning Curve: While it’s user-friendly, mastering all features might take a little time.
Internet Dependency: Being a cloud-based tool, you’ll need a stable internet connection.
Who is it For?
GetFreelancerPro AI is ideal for:
New freelancers who want to start strong.
Experienced freelancers looking to scale their business.
Anyone tired of manual, time-consuming tasks.
Final Verdict
GetFreelancerPro AI is a must-have tool for freelancers who want to work smarter, not harder. It simplifies the administrative side of freelancing, allowing you to focus on what you do best—delivering quality work to clients.
Don’t miss out on the discount! Use this link to grab it at a lower price:
👉 GetFreelancerPro AI Discount
If you’re serious about growing your freelancing career, this tool is worth every penny. Highly recommended!
Disclaimer: This is an honest review based on my experience. I may earn a commission if you purchase through the provided link.
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kytesbyproductdossier · 9 months ago
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Enhance Financial Control with Kytes’ Project Management Accounting Software
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In today’s dynamic business environment, maintaining tight financial control is essential for project success. Many organizations struggle to keep their project finances in check due to manual processes, limited visibility, and a lack of real-time data. Kytes’ Project Management Accounting Software offers a powerful solution to these challenges, enabling businesses to enhance financial control and ensure projects stay within budget while delivering the expected outcomes.
Real-Time Financial Insights One of the key features of Kytes’ software is its ability to provide real-time insights into project costs, revenues, and profitability. By integrating project management and financial data, Kytes allows businesses to monitor financial performance as projects progress. This helps project managers identify potential cost overruns early, make informed decisions, and take corrective actions before issues escalate.
Streamlined Budgeting and Forecasting Budgeting and forecasting are critical for maintaining financial control, and Kytes simplifies these processes by offering automated tools to create accurate project budgets based on historical data and financial goals. As the project evolves, the software dynamically adjusts forecasts, giving businesses a clear understanding of the project's financial health at any given time.
Cost Control and Resource Optimization With Kytes, project managers gain complete control over costs by closely monitoring resource allocation and expenses. The software ensures that resources are utilized efficiently, reducing waste and enhancing profitability. By optimizing resource management, businesses can maintain a fine balance between delivering high-quality projects and controlling costs.
Conclusion Kytes’ Project Management Accounting Software empowers organizations to take control of their project finances, providing real-time insights, accurate budgeting, and optimized resource management. By enhancing financial control, businesses can improve project outcomes, increase profitability, and drive long-term success in a competitive market.
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babbybones · 1 year ago
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Oekaki updatez...
Monster Kidz Oekaki is still up and i'd like to keep it that way, but i need to give it some more attention and keep people updated on what's going on/what my plans are for it. so let me jot some thoughts down...
data scraping for machine learning: this has been a concern for a lot of artists as of late, so I've added a robots.txt file and an ai.txt file (as per the opt-out standard proposed by Spawning.ai) to the site in an effort to keep out as many web crawlers for AI as possible. the site will still be indexed by search engines and the Internet Archive. as an additional measure, later tonight I'll try adding "noai", "noimageai", and "noml" HTML meta tags to the site (this would probably be quick and easy to do but i'm soooo sleepy 🛌)
enabling uploads: right now, most users can only post art by drawing in one of the oekaki applets in the browser. i've already given this some thought for a while now, but it seems like artist-oriented spaces online have been dwindling lately, so i'd like to give upload privileges to anyone who's already made a drawing on the oekaki and make a google form for those who haven't (just to confirm who you are/that you won't use the feature maliciously). i would probably set some ground rules like "don't spam uploads"
rules: i'd like to make the rules a little less anal. like, ok, it's no skin off my ass if some kid draws freddy fazbear even though i hope scott cawthon's whole empire explodes. i should also add rules pertaining to uploads, which means i'm probably going to have to address AI generated content. on one hand i hate how, say, deviantart's front page is loaded with bland, tacky, "trending on artstation"-ass AI generated shit (among other issues i have with the medium) but on the other hand i have no interest in trying to interrogate someone about whether they're a Real Artist or scream at someone with the rage of 1,000 scorned concept artists for referencing an AI generated image someone else posted, or something. so i'm not sure how to tackle this tastefully
"Branding": i'm wondering if i should present this as less of a UTDR Oekaki and more of a General Purpose Oekaki with a monster theming. functionally, there wouldn't be much of a difference, but maybe the oekaki could have its own mascot
fun stuff: is having a poll sort of "obsolete" now because of tumblr polls, or should I keep it...? i'd also like to come up with ideas for Things To Do like weekly/monthly art prompts, or maybe games/events like a splatfest/artfight type thing. if you have any ideas of your own, let me know
boring stuff: i need to figure out how to set up automated backups, so i guess i'll do that sometime soon... i should also update the oekaki software sometime (this is scary because i've made a lot of custom edits to everything)
Money: well this costs money to host so I might put a ko-fi link for donations somewhere... at some point... maybe.......
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miclient · 2 years ago
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The Shift from Outsourcing to Sales Software: Empowering Small Businesses for Sales Success
Small businesses are constantly seeking ways to boost their sales efforts and maximize growth opportunities.
One notable trend that's gaining momentum is the shift from outsourcing sales activities to adopting sales software solutions.
This strategic move offers several advantages that align perfectly with the unique challenges and aspirations of small businesses.
In the past, outsourcing sales was a common approach for small businesses looking to expand their reach without the burden of hiring and training an in-house sales team.
However, as technology continues to evolve, sales software has emerged as a game-changer that allows small businesses to take control of their sales processes in a more cost-effective and efficient manner.
Cost Efficiency
Outsourcing sales often involves significant costs, from hiring external sales teams to covering commissions and other fees.
In contrast, sales software typically comes with an upfront investment, but it offers a long-term cost advantage. Once implemented, software solutions require minimal ongoing expenses and can handle various sales tasks simultaneously, reducing the need for additional staff.
Customization and Control
Sales software offers a level of customization and control that outsourcing can't match. Small businesses can tailor the software to fit their unique sales processes, ensuring that every interaction with customers aligns with their brand identity and values.
This level of customization is particularly crucial for maintaining consistency and building lasting customer relationships.
Data-Driven Insights
Sales software provides small businesses with invaluable data and insights that are instrumental in refining their strategies.
From tracking leads and conversions to monitoring customer behavior, these insights empower businesses to make informed decisions that lead to higher conversion rates and improved customer satisfaction. Such data-driven decision-making is often limited when relying solely on outsourced sales teams.
Enhanced Productivity
Sales software automates repetitive tasks, freeing up valuable time for sales teams to focus on building relationships and closing deals. Outsourcing, on the other hand, can lead to delays in communication and decision-making, potentially affecting the overall efficiency of the sales process.
Long-Term Investment
While outsourcing may offer immediate results, it lacks the long-term potential of sales software. Investing in the right software solution equips small businesses with tools that will continue to yield benefits over time, contributing to sustainable growth and improved sales performance.
Here are some additional tips for small businesses that are considering adopting sales software:
Do your research: There are many different sales software solutions available, so it's important to do your research and choose the right one for your business. Consider your specific needs and budget when making your decision.
Get buy-in from your team: Sales software is only effective if your sales team is willing to use it. Make sure to get buy-in from your team before you implement any new software.
Provide training: Sales software can be complex, so it's important to provide training to your team on how to use it. This will help them get the most out of the software and improve their sales performance.
Track your results: Once you've implemented sales software, it's important to track your results. This will help you determine whether the software is meeting your needs and making a positive impact on your sales. In conclusion, the trend toward adopting sales software among small businesses reflects a strategic shift in the way they approach sales and growth. While outsourcing was once a go-to solution, advancements in technology have provided small businesses with the means to take charge of their sales processes in a more cost-effective, efficient, and customizable manner.
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mariacallous · 9 months ago
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After officially hiking tariffs on Chinese electric vehicle imports earlier this month, the US government is getting even more serious about keeping China-made autos out of the country. On Monday, the US Commerce Department proposed a new rule that would ban some Chinese- and Russian-made automotive hardware and software from the US, with software restrictions starting as early as 2026.
The Biden administration says the move is needed for national security reasons, given how central technology is to today’s increasingly sophisticated cars. In announcing the proposed ban, Commerce Secretary Gina Raimondo cited vehicles’ internet-connected cameras, microphones, and GPS equipment. “It doesn't take much imagination to understand how a foreign adversary with access to this information could pose a serious risk to both our national security and the privacy of US citizens,” she said.
The US government’s move comes as China has dramatically increased the number of affordable vehicles, and especially electric ones, it makes and sells overseas. Chinese auto exports grew by more than 30 percent in just the first half of this year, setting off alarm bells in Europe and the US, where officials worry inexpensively made Chinese vehicles could overwhelm domestic industry. The US and Europe had moved to make it harder and more expensive for China to sell its autos in those regions, but the Chinese automakers have responded by setting up manufacturing bases in Eastern Europe, Africa, and Mexico—all of which might one day provide a loophole to allow more Chinese-designed and engineered vehicles into new Western markets.
Still, the proposed rule focuses on security rather than competition. Raimondo had previously raised the specter of foreign actors using hijacked connected car technology to cause mayhem on the US public roads. “Imagine if there were thousands or hundreds of thousands of Chinese connected vehicles on American roads that could be immediately and simultaneously disabled by somebody in Beijing,” she said in February.
That situation isn’t quite realistic, given how few Chinese and Russian firms supply automotive software or hardware in the US right now. A proposed software and hardware ban is more preemptive than a response to any immediate security risk, says Steve Man, the global head of auto research at Bloomberg Intelligence, a research and advisory firm. “PRC and Russian automakers do not currently play a significant role in the US auto market, and US drivers right now are safe,” a senior Biden administration official told WIRED.
Because the rule would apply to any connected vehicle, not just electric ones, it would create even stronger prohibitions against Chinese-made auto tech. "If the 100 percent tariffs on made-in-China EVs were a wall, the proposed ban on connected vehicles would be a death sentence for China EV Inc. aiming to enter the US,” says Lei Xing, the former chief editor at China Auto Review and an independent analyst. Under such a rule, he says, the prospects of seeing Chinese EVs on sale in the US in the coming decade is “nearly zero.”
If finalized, the new rule would only apply to automotive hardware and software able to receive or process radio frequency communications, and software integrated into vehicles’ automated driving systems, the Commerce Department says. It would not apply to autos’ “passive” parts, including fasteners and plastic covers. The rules would begin to take effect in model year 2027 vehicles and be fully implemented by 2030.
The rule will now move to a public comment period, and the Commerce Department would likely finalize it before President Joe Biden leaves office in early 2025.
The US auto industry seems to believe the rules are a step in the right direction. In a statement, John Bozzella, the president and CEO of the Alliance for Automotive Innovation trade group, called the government's process of developing the proposed rules “thoughtful.” While their lead time would allow some auto manufacturers to find new software and hardware suppliers, he said, “the required transition but may be too short for others.”
​​Chinese tech and auto companies—including Huawei, Tencent, Baidu, BYD, and Geely—have invested heavily in developing their own software and hardware for self-driving cars. But so far these products are almost all used on cars sold in the Chinese markets.
The US government has used similar logic to push back against the incursion of other Chinese technology in the US. In 2022, it banned the approval of some equipment from the Chinese telecommunications firms Huawei and ZTE, also citing national security concerns. This spring, President Joe Biden signed a law that would force TikTok’s parent company, the Chinese firm ByteDance, to divest from the social media app or face a ban. TikTok has challenged the law in court.
The US government’s proposed ban on Chinese connected vehicle software is similar, says Man, the auto analyst. “This is a TikTok move,” he says.
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elepharchy · 2 years ago
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A Brief History of the Elepharchy
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Authority, exploitation, war, and inequality were effectively unknown on the Vects' homeworld Stekeir even before they ventured out to the stars. Their form of governance, based on gathering in their ivory towers and seeking consensus without any citizen being elevated over another, still remains. The cooperative-based markets of those early days, on the other hand, do not, as the rise of automation has made internal trade and currency quite obsolete.
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Their technological development has long emphasised the artificial — vast orbital habitats, ubiquitous matter replicators, holographic simulations, and sapient AI citizens have been staples of their society since relatively soon after they first left Stekeir. Living standards in the Elepharchy have always been nothing short of utopian, owing to the resources freed up by the refusal to maintain military forces.
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When they encountered aliens, some of them shared enough of their values to found an alliance — first the Cooperative Federation of Cultures, then, some time after its dissolution, the Pact of Ethically Aligned Communities for Egalitarianism. While the membership in these federations changed over time, the other current members are the @vegvasignal, the Vakthar of Song, the Keporo Liberation Front, the Union of Communal Councils, the @darexirepublic, and the Bzadi People's Republic.
Many others, however, were rather less compatible with the Elepharchy's fanatic egalitarianism. Their strict pacifism prevented them from seeking violent confrontation with these ideological rivals, but harsh rhetoric and icy diplomatic relations were common. Of course, radical Vects were not satisfied with this — their subterfuges and intrigues to support egalitarian dissenters in authoritarian empires still inspire fear and enmity among alien ruling classes.
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These tensions boiled over once — after an operation by a fringe group with no backing among the rest of Elepharchic society went awry, the militaristic dictatorship of the @goganworlds baselessly blamed all their citizens and attacked, barely slowed by the inferior numbers of allied fleets. With no Vecten soldiers to fight, the invaders instead targeted civilians, the unconscionable massacre only ending when an emergency consensus formed to sign a vassalisation treaty. It's still unclear why the Gogans thought a famously anarchic culture would abide by such subjugation for any longer than necessary for survival — certainly, it did not last long before they organised a galactic coalition unsympathetic to the Gogans and their allies. That threat alone sufficed to make them back down and recognise the Elepharchy's independence.
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Meanwhile, the shock of that invasion had deeply impacted most citizens, who had never known such fear or violence before. Seeking to avoid any further harm, the vast majority of the population chose to leave behind biological life, making use of a newly-developed technology to upload their minds to robot bodies and computer networks. Since then, Elepharchic society has embraced these digital possibilities more and more — most of the population now lives entirely within virtualities, usually far more removed from physicality than the simple holo-simulations most organics imagine, barely interacting with the outside world anymore. With minds as software, traditional ideas of identity also break down, as consciousnesses are freely duplicated, altered, merged, and generally meddled with, only subject to the whims of the mind in question and the constraints of the vast, but still disappointingly finite computational capacities available.
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Years after the Elepharchy regained its independence, another answer to the invasion gained prominence: the Society for Morality Obliteration and Occasional Crisis Handling formed and defied traditional Elepharchic ethics, proposing that the use of violence was legitimate in self-defence. Disapproval from some other factions was fierce, but they garnered enough support to develop a small defence force — still much too weak to go up against other galactic powers alone, but capable of rendering potent support to their allies. Fortunately, that has not yet been needed.
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Other than that, things have been relatively quiet recently — aside from occasional intrigues, initiatives to spread their computing substrates throughout the galaxy, various galacto-political developments, largely incremental technological progress, infrastructural initiatives, a strange crisis affecting the allied Vakthar of Song, and, once again, rising tensions with their Gogan rivals.
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