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vsservicesllc19 · 4 months ago

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Finding the Best ERP Software in Singapore

In today's fast-paced business environment, selecting the best ERP software in Singapore is crucial for success. Companies must streamline operations, manage resources efficiently, and stay competitive. An Enterprise Resource Planning (ERP) system can help achieve these goals by integrating various business processes into a single unified system.

Why ERP Software Matters

ERP software is the backbone of many organizations. It helps manage day-to-day business activities such as accounting, procurement, project management, risk management, and compliance. It also includes enterprise performance management, which allows for planning, budgeting, predicting, and reporting on an organization’s financial results.

Selecting the best ERP software in Singapore can lead to improved efficiency and productivity. It eliminates the need for disparate systems and reduces the manual labor associated with managing multiple software applications.

Key Features of Top ERP Software

When choosing an ERP system, there are several features to consider. The best ERP software in Singapore will offer robust functionality, scalability, and user-friendly interfaces. Here are some key features to look for:

Integration Capabilities: An effective ERP system should integrate seamlessly with existing systems and other software applications.

Customizability: Businesses should be able to customize the ERP software to meet their specific needs.

Real-time Data Access: Access to real-time data is crucial for making informed decisions.

Scalability: The software should grow with your business.

Support and Training: Reliable customer support and comprehensive training resources are essential.

Benefits of Business Intelligence Analytics Tools

Integrating business intelligence analytics tools with your ERP system can significantly enhance its functionality. These tools help analyze data and provide actionable insights that drive business decisions.

Using business intelligence analytics tools alongside ERP software can help businesses understand trends, identify opportunities, and improve efficiency. They provide detailed reports and dashboards, making it easier to track performance and make data-driven decisions.

How to Choose the Best ERP Software in Singapore

Choosing the best ERP software in Singapore involves several considerations. Here’s a step-by-step guide to help you make the right decision:

Assess Your Needs: Understand your business requirements and what you need from an ERP system.

Research: Look for ERP vendors that specialize in your industry.

Demo and Test: Request demonstrations and test the software to ensure it meets your needs.

Evaluate Costs: Consider the total cost of ownership, including implementation, customization, and ongoing maintenance.

Check References: Speak to other businesses that have implemented the ERP system to understand their experiences.

Changing Your Microsoft Dynamics Partner

Sometimes, businesses need to change their Microsoft Dynamics partner to get better service or support. Switching partners can help resolve issues like inadequate support, poor implementation, or lack of expertise.

Steps to Change Your Microsoft Dynamics Partner

Changing your Microsoft Dynamics partner can seem daunting, but it can be a smooth process with the right steps:

Identify the Need for Change: Determine why you need to switch partners.

Research New Partners: Look for partners with proven expertise and good reviews.

Plan the Transition: Develop a detailed plan for the transition to ensure minimal disruption.

Communicate: Inform your current partner about your decision and manage the handover process carefully.

The Future of ERP Software in Singapore

The future of ERP software in Singapore looks promising with advancements in technology. Cloud-based ERP systems are becoming more popular due to their flexibility and lower upfront costs. Additionally, integrating artificial intelligence (AI) and machine learning (ML) with ERP systems can provide even greater insights and efficiencies.

Businesses must stay updated with these trends to ensure they are leveraging the latest technologies for their operations. Investing in the best ERP software in Singapore will remain a key factor in achieving long-term success.

Conclusion

Selecting the best ERP software in Singapore is critical for businesses looking to streamline operations and stay competitive. By integrating business intelligence analytics tools and considering the need to change Microsoft Dynamics partners when necessary, companies can enhance their ERP systems' effectiveness. Staying informed about the latest trends and advancements in ERP technology will ensure that businesses are well-equipped to meet future challenges.

By following these guidelines and carefully selecting an ERP system, businesses can improve efficiency, make informed decisions, and drive growth. Ensure you choose a system that meets your needs and supports your business objectives for long-term success.

#best erp software singapore #business intelligence analytics tools #change microsoft dynamics partner

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onlineproxychecker · 5 months ago

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Finding the Best ERP Software in Singapore

Why ERP Software Matters

Key Features of Top ERP Software

Integration Capabilities: An effective ERP system should integrate seamlessly with existing systems and other software applications.

Customizability: Businesses should be able to customize the ERP software to meet their specific needs.

Real-time Data Access: Access to real-time data is crucial for making informed decisions.

Scalability: The software should grow with your business.

Support and Training: Reliable customer support and comprehensive training resources are essential.

Benefits of Business Intelligence Analytics Tools

How to Choose the Best ERP Software in Singapore

Choosing the best ERP software in Singapore involves several considerations. Here’s a step-by-step guide to help you make the right decision:

Assess Your Needs: Understand your business requirements and what you need from an ERP system.

Research: Look for ERP vendors that specialize in your industry.

Demo and Test: Request demonstrations and test the software to ensure it meets your needs.

Evaluate Costs: Consider the total cost of ownership, including implementation, customization, and ongoing maintenance.

Check References: Speak to other businesses that have implemented the ERP system to understand their experiences.

Changing Your Microsoft Dynamics Partner

Steps to Change Your Microsoft Dynamics Partner

Changing your Microsoft Dynamics partner can seem daunting, but it can be a smooth process with the right steps:

Identify the Need for Change: Determine why you need to switch partners.

Research New Partners: Look for partners with proven expertise and good reviews.

Plan the Transition: Develop a detailed plan for the transition to ensure minimal disruption.

Communicate: Inform your current partner about your decision and manage the handover process carefully.

The Future of ERP Software in Singapore

Conclusion

#best erp software Singapore #business intelligence analytics tools #change microsoft dynamics partner

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beardedmrbean · 4 months ago

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GRAFTON, Mass. (AP) — When two octogenarian buddies named Nick discovered that ChatGPT might be stealing and repurposing a lifetime of their work, they tapped a son-in-law to sue the companies behind the artificial intelligence chatbot.

Veteran journalists Nicholas Gage, 84, and Nicholas Basbanes, 81, who live near each other in the same Massachusetts town, each devoted decades to reporting, writing and book authorship.

Gage poured his tragic family story and search for the truth about his mother's death into a bestselling memoir that led John Malkovich to play him in the 1985 film “Eleni.” Basbanes transitioned his skills as a daily newspaper reporter into writing widely-read books about literary culture.

Basbanes was the first of the duo to try fiddling with AI chatbots, finding them impressive but prone to falsehoods and lack of attribution. The friends commiserated and filed their lawsuit earlier this year, seeking to represent a class of writers whose copyrighted work they allege “has been systematically pilfered by” OpenAI and its business partner Microsoft.

“It's highway robbery,” Gage said in an interview in his office next to the 18th-century farmhouse where he lives in central Massachusetts.

“It is,” added Basbanes, as the two men perused Gage's book-filled shelves. “We worked too hard on these tomes.”

Now their lawsuit is subsumed into a broader case seeking class-action status led by household names like John Grisham, Jodi Picoult and “Game of Thrones” novelist George R. R. Martin; and proceeding under the same New York federal judge who’s hearing similar copyright claims from media outlets such as The New York Times, Chicago Tribune and Mother Jones.

What links all the cases is the claim that OpenAI — with help from Microsoft's money and computing power — ingested huge troves of human writings to “train” AI chatbots to produce human-like passages of text, without getting permission or compensating the people who wrote the original works.

“If they can get it for nothing, why pay for it?” Gage said. “But it’s grossly unfair and very harmful to the written word.”

OpenAI and Microsoft didn’t return requests for comment this week but have been fighting the allegations in court and in public. So have other AI companies confronting legal challenges not just from writers but visual artists, music labels and other creators who allege that generative AI profits have been built on misappropriation.

The chief executive of Microsoft’s AI division, Mustafa Suleyman, defended AI industry practices at last month’s Aspen Ideas Festival, voicing the theory that training AI systems on content that’s already on the open internet is protected by the “fair use” doctrine of U.S. copyright laws.

“The social contract of that content since the ’90s has been that it is fair use,” Suleyman said. “Anyone can copy it, recreate with it, reproduce with it. That has been freeware, if you like.”

Suleyman said it was more of a “gray area” in situations where some news organizations and others explicitly said they didn’t want tech companies “scraping” content off their websites. “I think that’s going to work its way through the courts,” he said.

The cases are still in the discovery stage and scheduled to drag into 2025. In the meantime, some who believe their professions are threatened by AI business practices have tried to secure private deals to get technology companies to pay a fee to license their archives. Others are fighting back.

“Somebody had to go out and interview real people in the real world and conduct real research by poring over documents and then synthesizing those documents and coming up with a way to render them in clear and simple prose,” said Frank Pine, executive editor of MediaNews Group, publisher of dozens of newspapers including the Denver Post, Orange County Register and St. Paul Pioneer Press. Several of the chain’s newspapers sued OpenAI in April.

“All of that is real work, and it’s work that AI cannot do," Pine said. "An AI app is never going to leave the office and go downtown where there’s a fire and cover that fire.”

Deemed too similar to lawsuits filed late last year, the Massachusetts duo's January complaint has been folded into a consolidated case brought by other nonfiction writers as well as fiction writers represented by the Authors Guild. That means Gage and Basbanes won't likely be witnesses in any upcoming trial in Manhattan's federal court. But in the twilight of their careers, they thought it important to take a stand for the future of their craft.

Gage fled Greece as a 9-year-old, haunted by his mother's 1948 killing by firing squad during the country's civil war. He joined his father in Worcester, Massachusetts, not far from where he lives today. And with a teacher's nudge, he pursued writing and built a reputation as a determined investigative reporter digging into organized crime and political corruption for The New York Times and other newspapers.

Basbanes, as a Greek American journalist, had heard of and admired the elder “hotshot reporter” when he got a surprise telephone call at his desk at Worcester's Evening Gazette in the early 1970s. The voice asked for Mr. Basbanes, using the Greek way of pronouncing the name.

“You were like a talent scout,” Basbanes said. “We established a friendship. I mean, I’ve known him longer than I know my wife, and we’ve been married 49 years.”

Basbanes hasn’t mined his own story like Gage has, but he says it can sometimes take days to craft a great paragraph and confirm all of the facts in it. It took him years of research and travel to archives and auction houses to write his 1995 book “A Gentle Madness” about the art of book collection from ancient Egypt through modern times.

“I love that ‘A Gentle Madness’ is in 1,400 libraries or so,” Basbanes said. “This is what a writer strives for -- to be read. But you also write to earn, to put food on the table, to support your family, to make a living. And as long as that’s your intellectual property, you deserve to be compensated fairly for your efforts.”

Gage took a great professional risk when he quit his job at the Times and went into $160,000 debt to find out who was responsible for his mother's death.

“I tracked down everyone who was in the village when my mother was killed," he said. “And they had been scattered all over Eastern Europe. So it cost a lot of money and a lot of time. I had no assurance that I would get that money back. But when you commit yourself to something as important as my mother’s story was, the risks are tremendous, the effort is tremendous.”

In other words, ChatGPT couldn't do that. But what worries Gage is that ChatGPT could make it harder for others to do that.

“Publications are going to die. Newspapers are going to die. Young people with talent are not going to go into writing,” Gage said. “I'm 84 years old. I don’t know if this is going to be settled while I’m still around. But it’s important that a solution be found.”

#nunyas news

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follow-up-news · 5 months ago

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The Center for Investigative Reporting said Thursday it has sued ChatGPT maker OpenAI and its closest business partner, Microsoft, marking a new front in the news industry’s fight against unauthorized use of its content on artificial intelligence platforms. The nonprofit, which produces Mother Jones and Reveal, said that OpenAI used its content without permission and without offering compensation, violating copyrights on the organization’s journalism. The lawsuit, filed in a New York federal court, describes OpenAI’s business as “built on the exploitation of copyrighted works” and focuses on how AI-generated summaries of articles threaten publishers. “It’s immensely dangerous,” Monika Bauerlein, the nonprofit’s CEO, told The Associated Press. “Our existence relies on users finding our work valuable and deciding to support it.” Bauerlein said that “when people can no longer develop that relationship with our work, when they no longer encounter Mother Jones or Reveal, then their relationship is with the AI tool.” That, she said, could “cut the entire foundation of our existence as an independent newsroom out from under us” while also threatening the future of other news organizations.

#chatgpt #openai #ai

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fundgruber · 6 months ago

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[..] by using the Online Services, posting, uploading, inputting, providing or submitting content you are granting Microsoft, its affiliated companies and third party partners permission to use the Captions, Prompts, Creations, and related content in connection with the operation of its businesses (including, without limitation, all Microsoft Services), including, without limitation, the license rights to: copy, distribute, transmit, publicly display, publicly perform, reproduce, edit, translate and reformat the Captions, Prompts, Creations, and other content you provide; and the right to sublicense such rights to any supplier of the Online Services.

Bing Terms of Use

In the social media economy posting content was un-paid productive work, in the artificial intelligence industry prompts are. Just think about it: why would AI companies run free chats, when the output is just remixes of the existing material? Where is the productive input? It is in the prompts. The Bing terms of use provide an example, they grant them the "rights to: copy, distribute, transmit, publicly display, publicly perform, reproduce, edit, translate and reformat" your content, but more importantly, also your prompts.

We see how the current Stackoverflow debacle, where people thought a CC license would keep their questions and answers from becoming commodified, is related here. The collection of questions and answers was useful for Google because they could use search requests to directly display answers as if the search service was answering humanly. Services like ChatGPT and Bing are the next step, they function as a dialogue instead of a search box.

Copyright is a central issue in generative A.I. right now. Sure, stealing content and training LLMs with it needs legislation to protect creatives. At the same time, we could also see it as a creative tool, which only works through the productive work of prompt-forging (especially the negative prompts, which function as a fine-tuning). The bigger stealing happens again - like in social media - with the invisible work of the users, the real productive force, which is the human activity and creativity in the present creation of value, which goes into the work of the remix in its advanced form of generative artificial intelligence. Our interaction with Bing, ChatGPT, and similar services boils down to this, feeding them our creativity through prompts. These companies are not providing free services, but have a surveillance business model. And this model is shifting from advertising to industrialization of knowledge, to use all users as the workforce of a knowledge economy.

#ai #ki #stack overflow #essay

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vbeyound · 4 months ago

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Maximizing Business Insights with Power BI: A Comprehensive Guide for Small Businesses

Maximizing Business Insights Small businesses often face the challenge of making data-driven decisions without the resources of larger enterprises. Power BI, Microsoft's powerful analytics tool, can transform how small businesses use data, turning raw numbers into actionable insights. Here's a comprehensive guide to maximizing business insights with Power BI.

Introduction to Power BI

Power BI is a business analytics service by Microsoft that provides interactive visualizations and business intelligence capabilities. With an interface simple enough for end users to create their own reports and dashboards, it connects to a wide range of data sources.

Benefits for Small Businesses

1. User-Friendly Interface: Power BI's drag-and-drop functionality makes it accessible for users without technical expertise.

2. Cost-Effective: Power BI offers a free version with substantial features and a scalable pricing model for additional needs.

3. Real-Time Data: Businesses can monitor their operations with real-time data, enabling quicker and more informed decision-making.

Setting Up Power BI

1. Data Sources: Power BI can connect to various data sources such as Excel, SQL databases, and cloud services like Azure.

2. Data Modeling: Use Power BI to clean and transform data, creating a cohesive data model that forms the foundation of your reports.

3. Visualizations: Choose from a wide array of visualizations to represent your data. Customize these visuals to highlight the most critical insights.

Customizing Dashboards

1. Tailor to Needs: Customize dashboards to reflect the unique needs of your business, focusing on key performance indicators (KPIs) relevant to your goals.

2. Interactive Reports:Create interactive reports that allow users to explore data more deeply, providing a clearer understanding of underlying trends.

Real-World Examples

Several small businesses have successfully implemented Power BI to gain a competitive edge:

1. Retail: A small retail store used Power BI to track sales trends, optimize inventory, and identify peak shopping times.

2. Finance:A small financial advisory firm employed Power BI to analyze client portfolios, improving investment strategies and client satisfaction.

Integration with Existing Tools

Power BI seamlessly integrates with other Microsoft products such as Excel and Azure, as well as third-party applications, ensuring a smooth workflow and enhanced productivity.

Best Practices

1. Data Accuracy: Ensure data accuracy by regularly updating your data sources.

2. Training: Invest in training your team to use Power BI effectively.

3. Security: Implement robust security measures to protect sensitive data.

Future Trends

Power BI continues to evolve, with future updates likely to include more advanced AI features and enhanced data processing capabilities, keeping businesses at the forefront of technology.

Conclusion

Power BI offers small businesses a powerful tool to transform their data into meaningful insights. By adopting Power BI, businesses can improve decision-making, enhance operational efficiency, and gain a competitive advantage. Partnering with Vbeyond Digital ensures a smooth and successful implementation, maximizing the benefits of Power BI for your business. with Power BI: A Comprehensive Guide for Small Businesses

#Power BI

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sixstringphonic · 1 year ago

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OpenAI Fears Get Brushed Aside

(A follow-up to this story from May 16th 2023.) Big Tech dismissed board’s worries, along with the idea profit wouldn’t rule usage. (Reported by Brian Merchant, The Los Angeles Times, 11/21/23) It’s not every day that the most talked-about company in the world sets itself on fire. Yet that seems to be what happened Friday, when OpenAI’s board announced that it had terminated its chief executive, Sam Altman, because he had not been “consistently candid in his communications with the board.” In corporate-speak, those are fighting words about as barbed as they come: They insinuated that Altman had been lying. The sacking set in motion a dizzying sequence of events that kept the tech industry glued to its social feeds all weekend: First, it wiped $48 billion off the valuation of Microsoft, OpenAI’s biggest partner. Speculation about malfeasance swirled, but employees, Silicon Valley stalwarts and investors rallied around Altman, and the next day talks were being held to bring him back. Instead of some fiery scandal, reporting indicated that this was at core a dispute over whether Altman was building and selling AI responsibly. By Monday, talks had failed, a majority of OpenAI employees were threatening to resign, and Altman announced he was joining Microsoft. All the while, something else went up in flames: the fiction that anything other than the profit motive is going to govern how AI gets developed and deployed. Concerns about “AI safety” are going to be steamrolled by the tech giants itching to tap in to a new revenue stream every time.

It’s hard to overstate how wild this whole saga is. In a year when artificial intelligence has towered over the business world, OpenAI, with its ubiquitous ChatGPT and Dall-E products, has been the center of the universe. And Altman was its world-beating spokesman. In fact, he’s been the most prominent spokesperson for AI, period. For a highflying company’s own board to dump a CEO of such stature on a random Friday, with no warning or previous sign that anything serious was amiss — Altman had just taken center stage to announce the launch of OpenAI’s app store in a much-watched conference — is almost unheard of. (Many have compared the events to Apple’s famous 1985 canning of Steve Jobs, but even that was after the Lisa and the Macintosh failed to live up to sales expectations, not, like, during the peak success of the Apple II.)

So what on earth is going on?

Well, the first thing that’s important to know is that OpenAI’s board is, by design, differently constituted than that of most corporations — it’s a nonprofit organization structured to safeguard the development of AI as opposed to maximizing profitability. Most boards are tasked with ensuring their CEOs are best serving the financial interests of the company; OpenAI’s board is tasked with ensuring their CEO is not being reckless with the development of artificial intelligence and is acting in the best interests of “humanity.” This nonprofit board controls the for-profit company OpenAI.

Got it?

As Jeremy Khan put it at Fortune, “OpenAI’s structure was designed to enable OpenAI to raise the tens or even hundreds of billions of dollars it would need to succeed in its mission of building artificial general intelligence (AGI) … while at the same time preventing capitalist forces, and in particular a single tech giant, from controlling AGI.” And yet, Khan notes, as soon as Altman inked a $1-billion deal with Microsoft in 2019, “the structure was basically a time bomb.” The ticking got louder when Microsoft sunk $10 billion more into OpenAI in January of this year.

We still don’t know what exactly the board meant by saying Altman wasn’t “consistently candid in his communications.” But the reporting has focused on the growing schism between the science arm of the company, led by co-founder, chief scientist and board member Ilya Sutskever, and the commercial arm, led by Altman. We do know that Altman has been in expansion mode lately, seeking billions in new investment from Middle Eastern sovereign wealth funds to start a chip company to rival AI chipmaker Nvidia, and a billion more from Softbank for a venture with former Apple design chief Jony Ive to develop AI-focused hardware. And that’s on top of launching the aforementioned OpenAI app store to third party developers, which would allow anyone to build custom AIs and sell them on the company’s marketplace.

The working narrative now seems to be that Altman’s expansionist mind-set and his drive to commercialize AI — and perhaps there’s more we don’t know yet on this score — clashed with the Sutskever faction, who had become concerned that the company they co-founded was moving too fast. At least two of the board’s members are aligned with the so-called effective altruism movement, which sees AI as a potentially catastrophic force that could destroy humanity.

The board decided that Altman’s behavior violated the board’s mandate. But they also (somehow, wildly) seem to have failed to anticipate how much blowback they would get for firing Altman. And that blowback has come at gale-force strength; OpenAI employees and Silicon Valley power players such as Airbnb’s Brian Chesky and Eric Schmidt spent the weekend “I am Spartacus”-ing Altman. It’s not hard to see why. OpenAI had been in talks to sell shares to investors at an $86-billion valuation. Microsoft, which has invested more than $11 billion in OpenAI and now uses OpenAI’s tech on its platforms, was apparently informed of the board’s decision to fire Altman five minutes before the wider world. Its leadership was furious and seemingly led the effort to have Altman reinstated. But beyond all that lurked the question of whether there should really be any safeguards to the AI development model favored by Silicon Valley’s prime movers; whether a board should be able to remove a founder they believe is not acting in the interest of humanity — which, again, is their stated mission — or whether it should seek relentless expansion and scale.

See, even though the OpenAI board has quickly become the de facto villain in this story, as the venture capital analyst Eric Newcomer pointed out, we should maybe take its decision seriously. Firing Altman was probably not a call they made lightly, and just because they’re scrambling now because it turns out that call was an existential financial threat to the company does not mean their concerns were baseless. Far from it.

In fact, however this plays out, it has already succeeded in underlining how aggressively Altman has been pursuing business interests. For most tech titans, this would be a “well, duh” situation, but Altman has fastidiously cultivated an aura of a burdened guru warning the world of great disruptive changes. Recall those sheepdog eyes in the congressional hearings a few months back where he begged for the industry to be regulated, lest it become too powerful? Altman’s whole shtick is that he’s a weary messenger seeking to prepare the ground for responsible uses of AI that benefit humanity — yet he’s circling the globe lining up investors wherever he can, doing all he seemingly can to capitalize on this moment of intense AI interest.

To those who’ve been watching closely, this has always been something of an act — weeks after those hearings, after all, Altman fought real-world regulations that the European Union was seeking to impose on AI deployment. And we forget that OpenAI was originally founded as a nonprofit that claimed to be bent on operating with the utmost transparency — before Altman steered it into a for-profit company that keeps its models secret. Now, I don’t believe for a second that AI is on the cusp of becoming powerful enough to destroy mankind — I think that’s some in Silicon Valley (including OpenAI’s new interim CEO, Emmett Shear) getting carried away with a science fictional sense of self-importance, and a uniquely canny marketing tactic — but I do think there is a litany of harms and dangers that can be caused by AI in the shorter term. And AI safety concerns getting so thoroughly rolled at the snap of the Valley’s fingers is not something to cheer.

You’d like to believe that executives at AI-building companies who think there’s significant risk of global catastrophe here couldn’t be sidelined simply because Microsoft lost some stock value. But that’s where we are.

Sam Altman is first and foremost a pitchman for the year’s biggest tech products. No one’s quite sure how useful or interesting most of those products will be in the long run, and they’re not making a lot of money at the moment — so most of the value is bound up in the pitchman himself. Investors, OpenAI employees and partners such as Microsoft need Altman traveling the world telling everyone how AI is going to eclipse human intelligence any day now much more than it needs, say, a high-functioning chatbot.

Which is why, more than anything, this winds up being a coup for Microsoft. Now it has got Altman in-house, where he can cheerlead for AI and make deals to his heart’s content. They still have OpenAI’s tech licensed, and OpenAI will need Microsoft more than ever. Now, it may yet turn out to be that this was nothing but a power struggle among board members, and it was a coup that went wrong. But if it turns out that the board had real worries and articulated them to Altman to no avail, no matter how you feel about the AI safety issue, we should be concerned about this outcome: a further consolidation of power of one of the biggest tech companies and less accountability for the product than ever.

If anyone still believes a company can steward the development of a product like AI without taking marching orders from Big Tech, I hope they’re disabused of this fiction by the Altman debacle. The reality is, no matter whatever other input may be offered to the company behind ChatGPT, the output will be the same: Money talks.

#ChatGPT #OpenAI #AI #A.I.#Artificial Intelligence #fuck AI #regulate AI #bold text emphasis mine #this is an important read #I keep saying it and i'll say it again #I don't worry about what AI can do. I worry about how people will use it.

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jcmarchi · 1 year ago

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Generative AI, innovation, creativity & what the future might hold - CyberTalk

New Post has been published on https://thedigitalinsider.com/generative-ai-innovation-creativity-what-the-future-might-hold-cybertalk/

Generative AI, innovation, creativity & what the future might hold - CyberTalk

Stephen M. Walker II is CEO and Co-founder of Klu, an LLM App Platform. Prior to founding Klu, Stephen held product leadership roles Productboard, Amazon, and Capital One.

Are you excited about empowering organizations to leverage AI for innovative endeavors? So is Stephen M. Walker II, CEO and Co-Founder of the company Klu, whose cutting-edge LLM platform empowers users to customize generative AI systems in accordance with unique organizational needs, resulting in transformative opportunities and potential.

In this interview, Stephen not only discusses his innovative vertical SaaS platform, but also addresses artificial intelligence, generative AI, innovation, creativity and culture more broadly. Want to see where generative AI is headed? Get perspectives that can inform your viewpoint, and help you pave the way for a successful 2024. Stay current. Keep reading.

Please share a bit about the Klu story:

We started Klu after seeing how capable the early versions of OpenAI’s GPT-3 were when it came to common busy-work tasks related to HR and project management. We began building a vertical SaaS product, but needed tools to launch new AI-powered features, experiment with them, track changes, and optimize the functionality as new models became available. Today, Klu is actually our internal tools turned into an app platform for anyone building their own generative features.

What kinds of challenges can Klu help solve for users?

Building an AI-powered feature that connects to an API is pretty easy, but maintaining that over time and understanding what’s working for your users takes months of extra functionality to build out. We make it possible for our users to build their own version of ChatGPT, built on their internal documents or data, in minutes.

What is your vision for the company?

The founding insight that we have is that there’s a lot of busy work that happens in companies and software today. I believe that over the next few years, you will see each company form AI teams, responsible for the internal and external features that automate this busy work away.

I’ll give you a good example for managers: Today, if you’re a senior manager or director, you likely have two layers of employees. During performance management cycles, you have to read feedback for each employee and piece together their strengths and areas for improvement. What if, instead, you received a briefing for each employee with these already synthesized and direct quotes from their peers? Now think about all of the other tasks in business that take several hours and that most people dread. We are building the tools for every company to easily solve this and bring AI into their organization.

Please share a bit about the technology behind the product:

In many ways, Klu is not that different from most other modern digital products. We’re built on cloud providers, use open source frameworks like Nextjs for our app, and have a mix of Typescript and Python services. But with AI, what’s unique is the need to lower latency, manage vector data, and connect to different AI models for different tasks. We built on Supabase using Pgvector to build our own vector storage solution. We support all major LLM providers, but we partnered with Microsoft Azure to build a global network of embedding models (Ada) and generative models (GPT-4), and use Cloudflare edge workers to deliver the fastest experience.

What innovative features or approaches have you introduced to improve user experiences/address industry challenges?

One of the biggest challenges in building AI apps is managing changes to your LLM prompts over time. The smallest changes might break for some users or introduce new and problematic edge cases. We’ve created a system similar to Git in order to track version changes, and we use proprietary AI models to review the changes and alert our customers if they’re making breaking changes. This concept isn’t novel for traditional developers, but I believe we’re the first to bring these concepts to AI engineers.

How does Klu strive to keep LLMs secure?

Cyber security is paramount at Klu. From day one, we created our policies and system monitoring for SOC2 auditors. It’s crucial for us to be a trusted partner for our customers, but it’s also top of mind for many enterprise customers. We also have a data privacy agreement with Azure, which allows us to offer GDPR-compliant versions of the OpenAI models to our customers. And finally, we offer customers the ability to redact PII from prompts so that this data is never sent to third-party models.

Internally we have pentest hackathons to understand where things break and to proactively understand potential threats. We use classic tools like Metasploit and Nmap, but the most interesting results have been finding ways to mitigate unintentional denial of service attacks. We proactively test what happens when we hit endpoints with hundreds of parallel requests per second.

What are your perspectives on the future of LLMs (predictions for 2024)?

This (2024) will be the year for multi-modal frontier models. A frontier model is just a foundational model that is leading the state of the art for what is possible. OpenAI will roll out GPT-4 Vision API access later this year and we anticipate this exploding in usage next year, along with competitive offerings from other leading AI labs. If you want to preview what will be possible, ChatGPT Pro and Enterprise customers have access to this feature in the app today.

Early this year, I heard leaders worried about hallucinations, privacy, and cost. At Klu and across the LLM industry, we found solutions for this and we continue to see a trend of LLMs becoming cheaper and more capable each year. I always talk to our customers about not letting these stop your innovation today. Start small, and find the value you can bring to your customers. Find out if you have hallucination issues, and if you do, work on prompt engineering, retrieval, and fine-tuning with your data to reduce this. You can test these new innovations with engaged customers that are ok with beta features, but will greatly benefit from what you are offering them. Once you have found market fit, you have many options for improving privacy and reducing costs at scale – but I would not worry about that in the beginning, it’s premature optimization.

LLMs introduce a new capability into the product portfolio, but it’s also an additional system to manage, monitor, and secure. Unlike other software in your portfolio, LLMs are not deterministic, and this is a mindset shift for everyone. The most important thing for CSOs is to have a strategy for enabling their organization’s innovation. Just like any other software system, we are starting to see the equivalent of buffer exploits, and expect that these systems will need to be monitored and secured if connected to data that is more important than help documentation.

Your thoughts on LLMs, AI and creativity?

Personally, I’ve had so much fun with GenAI, including image, video, and audio models. I think the best way to think about this is that the models are better than the average person. For me, I’m below average at drawing or creating animations, but I’m above average when it comes to writing. This means I can have creative ideas for an image, the model will bring these to life in seconds, and I am very impressed. But for writing, I’m often frustrated with the boring ideas, although it helps me find blind spots in my overall narrative. The reason for this is that LLMs are just bundles of math finding the most probable answer to the prompt. Human creativity —from the arts, to business, to science— typically comes from the novel combinations of ideas, something that is very difficult for LLMs to do today. I believe the best way to think about this is that the employees who adopt AI will be more productive and creative— the LLM removes their potential weaknesses, and works like a sparring partner when brainstorming.

You and Sam Altman agree on the idea of rethinking the global economy. Say more?

Generative AI greatly changes worker productivity, including the full automation of many tasks that you would typically hire more people to handle as a business scales. The easiest way to think about this is to look at what tasks or jobs a company currently outsources to agencies or vendors, especially ones in developing nations where skill requirements and costs are lower. Over this coming decade you will see work that used to be outsourced to global labor markets move to AI and move under the supervision of employees at an organization’s HQ.

As the models improve, workers will become more productive, meaning that businesses will need fewer employees performing the same tasks. Solo entrepreneurs and small businesses have the most to gain from these technologies, as they will enable them to stay smaller and leaner for longer, while still growing revenue. For large, white-collar organizations, the idea of measuring management impact by the number of employees under a manager’s span of control will quickly become outdated.

While I remain optimistic about these changes and the new opportunities that generative AI will unlock, it does represent a large change to the global economy. Klu met with UK officials last week to discuss AI Safety and I believe the countries investing in education, immigration, and infrastructure policy today will be best suited to contend with these coming changes. This won’t happen overnight, but if we face these changes head on, we can help transition the economy smoothly.

Is there anything else that you would like to share with the CyberTalk.org audience?

Expect to see more security news regarding LLMs. These systems are like any other software and I anticipate both poorly built software and bad actors who want to exploit these systems. The two exploits that I track closely are very similar to buffer overflows. One enables an attacker to potentially bypass and hijack that prompt sent to an LLM, the other bypasses the model’s alignment tuning, which prevents it from answering questions like, “how can I build a bomb?” We’ve also seen projects like GPT4All leak API keys to give people free access to paid LLM APIs. These leaks typically come from the keys being stored in the front-end or local cache, which is a security risk completely unrelated to AI or LLMs.

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coolcatteacher · 1 year ago

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Revolutionizing Classrooms: How Microsoft's AI is Changing Education

Artificial intelligence is the top conversation among educators everywhere. It was truly a thrill for me, as a classroom teacher, for Lydia Smyers, the Vice President of US Education for Microsoft, to sit down with me at ISTE. As educators, we're at the forefront of this exciting (and scary) change with unprecedented learning opportunities (and threats.) Whether you're new to AI or a seasoned AI-enthusiast, you'll gain invaluable insights into one of the companies on the forefront of AI in education. Brought to you by Microsoft, this podcast offers a glimpse into the future of education and an AI-infused landscape where possibilities are endless (and challenges abound.) Let's do this!

Read the full transcript, show notes, and video here: https://www.coolcatteacher.com/e808

Sponsor: This show is sponsored by Microsoft. Check out their new AI Course. All opinions are my own. Once a year, I have a newsworthy topic that I accept that has advertorial content. This is the show for 2023 with Microsoft.

Lydia Smyers, Vice President of US Education for Microsoft

Lydia Smyers is the Vice President of US Education for Microsoft. She leads the sales teams supporting the adoption and sales of Microsoft’s solutions across K-12 organizations and higher education customers in the United States.

Before joining Microsoft, Smyers was group vice president of Worldwide Alliances, Channels Programs and Communications at Oracle Corp. In this role, she had global responsibility for Oracle Partner Network (OPN) programs, strategy, marketing and communications. Her organization supported Oracle’s channel ecosystem with an emphasis on driving partner profitability and satisfaction.

Smyers is a member of the EDUCAUSE Diversity, Equity, and Inclusion Board and has been named as one of CRN’s “Top 100 Women of the Channel” 2009–2013 and named to its advisory board. She is also committed to empowering the next generation of leaders and supporting her local community. She serves on the board of several community nonprofits including Friends of Marblehead Public Schools, MassCUE, and the Marblehead Family Fund.

Smyers holds an MBA from Duke University’s Fuqua School of Business, and a bachelor’s degree in chemistry from Trinity College-Hartford. She is a sports enthusiast, an active triathlete in the summer and an alpine backcountry skier in the winter. She lives in Massachusetts with her husband and two sons.

New Podcast Episode

#education

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ammg-old2 · 2 years ago

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It was a simpler time. A friend introduced us, pulling up a static yellow webpage using a shaky dial-up modem. A man stood forth, dressed in a dapper black pinstriped suit with a red-accented tie. He held one hand out, as if carrying an imaginary waiter’s tray. He looked regal and confident and eminently at my service. “Have a Question?” he beckoned. “Just type it in and click Ask!” And ask, I did. Over and over.

With his steady hand, Jeeves helped me make sense of the tangled mess of the early, pre-Google internet. He wasn’t perfect—plenty of context got lost between my inquiries and his responses. Still, my 11-year-old brain always delighted in the idea of a well-coiffed man chauffeuring me down the information superhighway. But things changed. Google arrived, with its clean design and almost magic ability to deliver exactly the answers I wanted. Jeeves and I grew apart. Eventually, in 2006, Ask Jeeves disappeared from the internet altogether and was replaced with the more generic Ask.com.

Many years later, it seems I owe Jeeves an apology: He had the right idea all along. Thanks to advances in artificial intelligence and the stunning popularity of generative-text tools such as ChatGPT, today’s search-engine giants are making huge bets on AI search chatbots. In February, Microsoft revealed its Bing Chatbot, which has thrilled and frightened early users for its ability to scour the internet and answer questions (not always correctly) with convincingly human-sounding language. The same week, Google demoed Bard, the company’s forthcoming attempt at an AI-powered chat-search product. But for all the hype, when I stare at these new chatbots, I can’t help but see the faint reflection of my former besuited internet manservant. In a sense, Bing and Bard are finishing what Ask Jeeves started. What people want when they ask a question is for an all-knowing, machine-powered guide to confidently present them with the right answer in plain language, just as a reliable friend would.

With this in mind, I decided to go back to the source. More than a decade after parting ways, I found myself on the phone with one of the men behind the machine, getting as close to Asking Jeeves as is humanly possible. These days, Garrett Gruener, Ask Jeeves’s co-creator, is a venture capitalist in the Bay Area. He and his former business partner David Warthen eventually sold Ask Jeeves to Barry Diller and IAC for just under $2 billion. Still, I wondered if Gruener had been unsettled by Jeeves’s demise. Did he, like me, see the new chatbots as the final form of his original idea? Did he feel vindicated or haunted by the fact that his creation may have simply been born far too early?

The original conception for Jeeves, Gruener told me, was remarkably similar to what Microsoft and Google are trying to build today. As a student at UC San Diego in the mid-1970s, Gruener—a sci-fi aficionado—got an early glimpse of ARPANET, the pre-browser predecessor to the commercial internet, and fell in love. Just over a decade later, as the web grew and the beginnings of the internet came into view, Gruener realized that people would need a way to find things in the morass of semiconnected servers and networks. “It became clear that the web needed search but that mere mortals without computer-science degrees needed something easy, even conversational,” he said. Inspired by Eliza, the famous chatbot designed by MIT’s Joseph Weizenbaum, Gruener dreamed of a search engine that could converse with people using natural-language processing. Unfortunately, the technology wasn’t sophisticated enough for Gruener to create his ideal conversational search bot.

So Gruener and Warthen tried a work-around. Their code allowed a user to write a statement in English, which was then matched to a preprogrammed vector, which Gruener explained to me as “a canonical snapshot of answers to what the engine thought you were trying to say.” Essentially, they taught the machine to recognize certain words and provide really broad categorical answers. “If you were looking for population stats for a country, the query would see all your words and associated variables and go, Well, this Boolean search seems close, so it’s probably this.” Jeeves would provide the answer, and then you could clarify whether it worked or not.

“We tried to discern what people were trying to say in search, but without actually doing the natural-recognition part of it,” Gruener said. After some brainstorming, they realized that they were essentially building a butler. One of Gruener’s friends mocked up a drawing of the friendly servant, and Jeeves was born.

Pre-Google, Ask Jeeves exploded in popularity, largely because it allowed people to talk with their search engine like a person. Within just two years, the site was handling more than 1 million queries a day. A massive Jeeves balloon floated down Central Park West during Macy’s 1999 Thanksgiving parade. But not long after the butler achieved buoyancy, the site started to lose ground in the search wars. Google’s web-crawling superiority led to hard times for Ask Jeeves. “None of us were very concerned about monetization in the beginning,” Gruener told me. “Everyone in search early on realized, if you got this right, you’d essentially be in the position of being the oracle. If you could be the company to go to in order to ask questions online, you’re going to be paid handsomely.”

Gruener isn’t bitter about losing out to Google. “If anything, I’m really proud of our Jeeves,” he told me. Listening to Gruener explain the history, it’s not hard to see why. In the mid-2000s, Google began to pivot search away from offering only 10 blue links to images, news, maps, and shopping. Eventually, the company began to fulfill parts of the Jeeves promise of answering questions with answer boxes. One way to look at the evolution of big search engines in the 21st century is that all companies are trying their best to create their own intuitive search butlers. Gruener told me that Ask Jeeves’s master plan had two phases, though the company was sold before it could tackle the second. Gruener had hoped that, eventually, Jeeves could act as a digital concierge for users. He’d hoped to employ the same vector technology to get people to ask questions and allow Jeeves to make educated guesses and help users complete all kinds of tasks. “If you look at Amazon’s Alexa, they’re essentially using the same approach we designed for Jeeves, just with voice,” Gruener said. Yesterday’s butler has been rebranded as today’s virtual assistant, and the technology is ubiquitous in many of our home devices and phones. “We were right for the consumer back then, and maybe we’d be right now. But at some point the consumer evolved,” he said.

I’ve been fixated on what might’ve been if Gruener’s vision had come about now. We might all be Jeevesing about the internet for answers to our mundane questions. Perhaps our Jeevesmail inboxes would be overflowing and we’d be getting turn-by-turn directions from an Oxford-educated man with a stiff English accent. Perhaps we’d all be much better off.

Gruener told me about an encounter he’d had during the search wars with one of Google’s founders at a TED conference (he wouldn’t specify which of the two). “I told him that we’re going to learn an enormous amount about the people who are using our platforms, especially as they become more conversational. And I said that it was a potentially dangerous position,” he said. “But he didn’t seem very receptive to my concerns.”

Near the end of our call, I offered an apology for deserting Jeeves like everyone else did. Gruener just laughed. “I find this future fascinating and, if I’m honest, a little validating,” he said. “It’s like, ultimately, as the tech has come around, the big guys have come around to what we were trying to do.”

#history #technology #digital technology #computing #internet #ask jeeves #google

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prabhatdavian-blog · 5 hours ago

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Mastering ChatGPT: Enhance Workplace Communication and Productivity with AI

Introduction to ChatGPT

What is ChatGPT?

Overview of GPT Technology

ChatGPT, built on OpenAI's GPT (Generative Pre-trained Transformer) technology, is an advanced AI language model designed to understand and generate human-like text. It processes large datasets to provide intelligent, context-aware responses.

How ChatGPT Works in a Workplace Setting

ChatGPT can assist with drafting emails, creating reports, summarizing information, and even brainstorming ideas, making it a valuable asset for businesses aiming to improve productivity.

Why AI Matters in the Modern Workplace

The Rise of Conversational AI

The adoption of conversational AI like ChatGPT is skyrocketing. Its ability to simulate human conversations and understand natural language makes it a powerful tool for streamlining operations.

Impact on Communication and Efficiency

AI tools like ChatGPT enhance communication clarity, reduce response times, and enable seamless collaboration across teams and departments.

Benefits of Using ChatGPT at Work

Improved Communication

Simplifying Complex Information

ChatGPT can break down intricate concepts into simple, understandable terms, making technical information accessible to all team members.

Streamlining Team Collaboration

By acting as a virtual assistant, ChatGPT ensures consistent communication and minimizes misunderstandings among team members.

Boosted Productivity

Automating Repetitive Tasks

From drafting meeting agendas to responding to frequently asked questions, ChatGPT handles mundane tasks efficiently, freeing up time for more strategic activities.

Enhancing Decision-Making with Data Insights

ChatGPT can analyze data, summarize trends, and provide actionable insights, aiding leaders in making informed decisions.

How to Use ChatGPT Effectively

Tips for Effective Prompt Writing

Clear and Concise Language

The quality of ChatGPT’s output depends heavily on how well you phrase your queries. Use straightforward language and avoid ambiguity.

Providing Context for Better Outputs

Include specific details and examples in your prompts to help ChatGPT generate accurate and relevant responses.

Integrating ChatGPT with Workplace Tools

Compatible Platforms

ChatGPT can integrate with platforms like Slack, Microsoft Teams, and CRM software, enhancing its utility across various workflows.

Workflow Optimization

Incorporating ChatGPT into daily routines, such as scheduling or customer support, streamlines operations and improves team efficiency.

Real-Life Applications of ChatGPT in the Workplace

Enhancing Internal Communication

ChatGPT can draft newsletters, compose team updates, and even manage scheduling conflicts, improving internal communication dynamics.

Assisting in Content Creation

From blog posts to product descriptions, ChatGPT can quickly generate high-quality content, reducing the workload on marketing teams.

Supporting Customer Service Teams

With its ability to handle routine inquiries, ChatGPT ensures customers receive fast, accurate responses, while human agents focus on complex issues.

Best Practices for AI-Powered Communication

Maintaining a Professional Tone

Although ChatGPT excels at casual language, ensuring a professional tone aligns with workplace standards.

Using AI as a Collaborative Partner, Not a Replacement

Leverage ChatGPT to enhance, not replace, human creativity and decision-making, ensuring a balanced approach to AI integration.

Challenges and Solutions When Using ChatGPT

Ensuring Data Privacy and Security

To prevent data breaches, use ChatGPT in secure environments and avoid sharing sensitive information.

Managing AI Limitations

While ChatGPT is highly capable, it isn’t infallible. Always review outputs for accuracy and relevance.

Future Trends in AI for Workplace Communication

Advancements in Personalization

Future iterations of ChatGPT will likely offer more personalized responses, adapting to individual preferences and team cultures.

Integration with Virtual Reality (VR) and Augmented Reality (AR)

As VR and AR technologies advance, ChatGPT could become a key player in virtual workplace interactions, creating immersive communication experiences.

Conclusion

Mastering ChatGPT is about more than just understanding its features—it's about leveraging its capabilities to transform workplace communication and boost productivity. By using ChatGPT thoughtfully, businesses can unlock new levels of efficiency, foster innovation, and create a more collaborative work environment.

FAQs

What is ChatGPT, and how does it work? ChatGPT is an AI-powered language model designed to generate human-like text responses based on input queries.

Can ChatGPT replace human employees in communication roles? No, ChatGPT is a tool meant to assist and enhance human efforts, not replace them.

How does ChatGPT handle sensitive workplace data? ChatGPT relies on secure platforms, but users should avoid sharing confidential information to ensure data safety.

What are the best practices for training employees on ChatGPT? Provide training sessions on prompt writing, use-case demonstrations, and integration techniques for maximum effectiveness.

What industries benefit the most from ChatGPT? Industries like marketing, customer service, education, and healthcare gain significant advantages from ChatGPT’s capabilities.

#chatgpt #korshub #udemy online courses #automation

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beardedmrbean · 1 year ago

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A new class-action lawsuit accuses OpenAI and partner Microsoft of infringing on works by non-fiction authors, the latest in a string of legal actions against artificial intelligence companies.

It comes amid turmoil at OpenAI, where most of the startup’s nearly 800 employees have threatened to quit if ousted CEO Sam Altman doesn’t return to his role. He was fired by OpenAI’s board on Friday and announced Sunday that he would join Microsoft, whose CEO Satya Nadella told CNBC on Monday he is looking to partner with Altman in whatever form that takes.

The lawsuit against the two companies, filed Tuesday in federal court in the Southern District of New York, makes similar arguments to other allegations that AI companies used copyrighted works in massive training sets employed to build tools like ChatGPT.

The lead plaintiff in the suit, Julian Sancton, is the author of , which he spent five years and tens of thousands of dollars writing, according to the lawsuit, which hasn’t previously been reported.

“The commercial success of the ChatGPT products for OpenAI and Microsoft comes at the expense of non-fiction authors who haven’t seen a penny from either defendant,” said Susman Godfrey partner Justin Nelson, the lead attorney representing Sancton.

OpenAI doesn’t disclose what data it used to train GPT-4, its most advanced large language model, but lawyers for Sancton say ChatGPT divulged the secret. “In the early days after its release, however, ChatGPT, in response to an inquiry, confirmed: “Yes, Julian Sancton’s book ‘Madhouse at the End of the Earth’ is included in my training data,” the lawsuit reads.

One way that lawsuit is different from others is that it ropes in Microsoft, which did not decide what training data to use in OpenAI’s models or even design the models itself. Rather, Microsoft provided the infrastructure for training and running them.

The models are now core to Microsoft’s business, which has given it a boost in stock price, the suit points out.

“Microsoft would have known that OpenAI’s training data was scraped indiscriminately from the internet and included a massive quantity of pirated and copyrighted material, including a trove of copyrighted nonfiction works,” the suit alleges.

The companies didn’t immediately respond to requests for comment.

Know More

Last week, Stability AI’s vice president of audio, Ed Newton-Rex, resigned in protest over the company’s stance on copyrighted work (It was ok with using them.)

Famous fiction authors like Jonathan Franzen and John Grisham sued OpenAI earlier this year for copyright infringement. Sarah Silverman and other authors are also suing Meta on the same grounds. Several other lawsuits are making their way through the courts.

AI companies have argued that using copyrighted works in training data constitutes “fair use” of the material. In essence, computers are “learning” from the copyrighted works, just like humans learn when they read.

Sancton’s attorneys argue it’s not the same thing. “While OpenAI’s anthropomorphizing of its models is up for debate, at a minimum, humans who learn from books buy them, or borrow them from libraries that buy them, providing at least some measure of compensation to authors and creators,” the lawsuit said.

It alleges that OpenAI deliberately conceals its training sets to hide the copyrighted works it uses. “Another reason to keep its training data and development of GPT-3, GPT-3.5, and GPT-4 secret: To keep rightsholders like Plaintiff and members of the Class in the dark about whether their works were being infringed and used to train OpenAI’s models,” the lawsuit argues.

Reed’s view

AI copyright law will surely make its way to the U.S. Supreme Court. The fundamental question: If an AI model is not actually reproducing a protected work, then is the fact that it learned from it a technical violation of copyright?

If AI companies pay for copyrighted works — say, buying a book — can they legally use it to train an AI model, or do they need to license the material from the owner of the copyright?

There’s also a purely moral question: Even if it turns out the AI companies are right, and training AI models with copyrighted material constitutes fair use, should they?

This is a very thorny one. I am the author of a non-fiction book that is almost surely in the training sets for these models and I don’t really have a problem with it. I don’t think large language models will ever really pose competition for books. A book is a lot more than a bunch of words.

What I find upsetting is that there are places people can pirate the book online and read it for free. Nobody seems outraged by that, though.

I also think that we have all contributed to this technology in one way or another; it’s trained on basically the entire internet.

Even if AI companies compensated me for the use of the book, what would it be worth? A few cents? I do, however, think that if AI companies use my book in their training data, they should at least be required to buy a copy. Otherwise, that’s just plain old pirating.

The third point is how technology is moving beyond the copyright issue already. As we’ve reported, the newest small models in generative AI are trained using synthetic data created by the larger models.

And companies like OpenAI are hiring other companies like Scale AI to create content from scratch, specifically to train new AI models.

At some point, there may be a proliferation of generative AI models that contain no problematic material at all.

Room for Disagreement

Ed Newton-Rex argues in this article that what AI companies are doing is wrong: “Setting aside the fair use argument for a moment — since ‘fair use’ wasn’t designed with generative AI in mind — training generative AI models in this way is, to me, wrong. Companies worth billions of dollars are, without permission, training generative AI models on creators’ works, which are then being used to create new content that in many cases can compete with the original works. I don’t see how this can be acceptable in a society that has set up the economics of the creative arts such that creators rely on copyright.”

Notable

There really is no clear answer on where the law comes down on the issue of copyright material, reports James Vincent of The Verge.

#nunyas news

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robintechknowledge · 4 days ago

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Microsoft Dynamics 365 Services

Microsoft Dynamics 365 Services offer a robust suite of tools designed to streamline operations and enhance customer engagement for businesses of all sizes. One of the standout features is its seamless integration with artificial intelligence and machine learning capabilities, allowing organizations to glean actionable insights from their data. This empowers teams to make informed decisions quickly, driving both efficiency and innovation in their workflows.

Moreover, Microsoft Dynamics 365 Services modular approach provides businesses with the flexibility to tailor solutions according to their unique needs. Whether it’s sales automation, financial management, or customer service optimization, companies can start with core functionalities and expand as they grow. Also noteworthy is the platform's commitment to security; built on Microsoft Azure’s trusted cloud infrastructure, it ensures that sensitive data remains protected while still enabling accessibility across multiple devices.

Finally, the growing ecosystem around Dynamics 365 fosters collaboration among partners and users alike. Organizations can leverage third-party applications through Microsoft AppSource for enhanced functionality or even access community-driven resources for best practices. This collaborative environment not only accelerates adoption but also cultivates a culture of continuous improvement—allowing businesses to remain agile in an ever-evolving marketplace.

#microsoft dynamics 365 #microsoft dyanamic

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asplblogs · 4 days ago

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Top CRM Development Services Companies in Australia

In today’s competitive digital landscape, businesses of all sizes are seeking customized Customer Relationship Management (CRM) solutions to streamline operations, boost customer engagement, and maximize efficiency. Australia is home to many industry-leading CRM development companies and agencies specializing in creating powerful, tailored solutions that meet various business needs. Whether you’re a startup, a growing business, or a large corporation, partnering with the right CRM developer can make all the difference.

In this comprehensive article, we present the Top CRM Development Services Companies in Australia. With detailed insights on each company, their unique services, and key contact details, we aim to help you make an informed decision. Read on to find the ideal CRM development partner that aligns with your business goals!

Why Hire a CRM Developer?

Choosing the right CRM development company or CRM development agency can significantly impact your business’s customer relationships and internal processes. An experienced CRM developer can tailor solutions to meet your unique requirements, from automating workflows to enhancing data management. Hiring experts ensures your CRM system not only aligns with your business model but also scales efficiently as you grow.

1. Ashapura Softech

Ashapura Softech stands as a leading CRM development company specializing in custom CRM solutions that meet the needs of businesses across various industries. With a focus on Salesforce and Microsoft Dynamics, their team offers consulting, implementation, integration, and support services tailored to drive client success.

Key Services:

Custom CRM development

Salesforce and Microsoft Dynamics CRM solutions

Integration and support

Data migration and consulting

Website: www.ashapurasoftech.com

Email: [email protected]

Ashapura Softech’s highly skilled developers are dedicated to enhancing customer engagement through innovative CRM strategies. Contact Ashapura Softech today to transform your customer relationship management!

2. WorkingMouse

WorkingMouse is known for delivering intelligent CRM systems that improve workflow and data management. Their team collaborates closely with clients to create custom solutions that prioritize automation and efficient process handling.

Key Services:

Custom CRM development

Integration with third-party tools

Data migration and support

UI/UX design for CRM

Website: www.workingmouse.com.au

Email: [email protected]

3. Appello Software

Appello Software is a versatile CRM development agency with expertise in developing user-friendly solutions for a diverse client base. They focus on CRM systems that integrate well with existing infrastructures, ensuring seamless data flow and user satisfaction.

Key Services:

Custom CRM software design

Salesforce CRM integration

Business process automation

CRM software support and maintenance

Website: www.appello.com.au

Email: [email protected]

4. WebAlive

WebAlive specializes in building scalable and robust CRM solutions for mid-to-large enterprises. Their team utilizes cutting-edge technology to develop customized CRM platforms that drive engagement and operational efficiency.

Key Services:

Enterprise CRM development

Custom CRM integration

Workflow automation

CRM consulting and support

Website: www.webalive.com.au

Email: [email protected]

5. TatvaSoft

TatvaSoft is a global software development company with a strong presence in Australia, offering end-to-end CRM development services tailored for businesses looking to enhance their customer interactions.

Key Services:

CRM system development and design

CRM implementation

Third-party API integration

CRM analytics and support

Website: www.tatvasoft.com

Email: [email protected]

6. The Digital Embassy

The Digital Embassy provides CRM development solutions focused on improving customer communication and data analysis. They have a well-established team experienced in implementing CRM systems that fit seamlessly with existing business processes.

Key Services:

CRM system implementation

CRM consulting and strategy

API integration

CRM maintenance and support

Website: www.thedigitalembassy.com.au

Email: [email protected]

7. Teamwork Commerce

Teamwork Commerce specializes in CRM systems for retail and eCommerce industries, providing custom solutions that enhance customer experience through tailored analytics and data handling features.

Key Services:

CRM systems for retail and eCommerce

Custom CRM analytics

Mobile CRM solutions

Data integration and consulting

Website: www.teamworkcommerce.com

Email: [email protected]

8. HyperC

HyperC is a Melbourne-based CRM development company that emphasizes CRM solutions for small and medium enterprises. Their team provides custom CRM solutions focusing on automation and client data management.

Key Services:

Custom CRM development

Workflow automation

Integration with cloud platforms

CRM strategy consulting

Website: www.hyperc.com.au

Email: [email protected]

9. Fusion Labs

Fusion Labs offers tailored CRM solutions to simplify customer interactions and business workflows. They work with various CRM platforms to provide end-to-end services from consulting to post-implementation support.

Key Services:

CRM solution consulting

Implementation and support

Integration with ERP systems

Customer engagement analytics

Website: www.fusionlabs.com.au

Email: [email protected]

10. Netwise

Netwise is a leading Australian CRM agency known for its ability to craft personalized solutions that optimize data and customer interactions. They offer a range of CRM development services tailored to specific industry needs.

Key Services:

CRM platform development

Integration with marketing tools

Data migration and management

CRM training and support

Website: www.netwise.com.au

Email: [email protected]

Conclusion

Australia hosts some of the best CRM development companies committed to empowering businesses through state-of-the-art CRM solutions. Whether you’re looking for seamless integration, customization, or enhanced customer insights, the companies listed above bring expertise, innovation, and reliability to help you achieve your business goals. Ashapura Softech is here to support your CRM journey with bespoke solutions and dedicated service. Contact us at [email protected] to learn how we can transform your customer relationship management today!

#hire crm developer #crm development #CRM Solutions #crm services

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vbeyonddigital · 11 days ago

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Dynamics 365 Finance: The Game-Changer for Modern Financial Operations

Businesses are transforming their financial management processes with the help of Dynamics 365 Finance, a tool that's designed to streamline and improve efficiency across financial operations. Dynamics 365 Finance offers a range of features that not only enhance day-to-day financial tasks but also support strategic decision-making. By automating repetitive processes, enabling real-time data insights, and enhancing compliance, it is setting a new standard in financial management.

Why Dynamics 365 Finance Stands Out?

The platform integrates seamlessly with other Microsoft tools, providing a centralized solution that aligns all financial functions. Dynamics 365 Finance brings together accounting, budgeting, project management, and analytics into one place, offering a comprehensive view of a company’s financial health. This allows financial leaders to make data-driven decisions faster and with more accuracy. Moreover, the advanced analytics and AI-driven insights provided by Dynamics 365 Finance enable predictive financial forecasting, giving companies a clearer view of potential future scenarios.

This solution is not limited to large enterprises; it’s built to cater to businesses of all sizes, supporting growth by providing scalable tools that evolve with the business. Whether it’s managing financial reporting, handling global compliance standards, or navigating complex regulatory requirements, Dynamics 365 Finance is designed to simplify these processes, saving time and reducing operational costs.

Automation and AI-Powered Insights

A major advantage of Dynamics 365 Finance is its automation capabilities. Tasks like invoice processing, data entry, and reconciliations, which typically consume substantial time, can now be automated. This minimizes errors and frees up employees to focus on more strategic initiatives. Additionally, Dynamics 365 Finance leverages artificial intelligence to analyze financial patterns and suggest adjustments, enabling companies to respond proactively to potential issues.

With built-in AI capabilities, Dynamics 365 Finance supports risk management by identifying anomalies in financial data and suggesting corrective measures. These insights allow finance teams to monitor and control risks more effectively, resulting in a more resilient financial structure.

Seamless Compliance and Enhanced Security

Navigating compliance regulations can be a challenge, especially for organizations operating globally. Dynamics 365 Finance helps businesses stay compliant with local and international regulations by offering regular updates and automated compliance checks. Additionally, Microsoft’s cloud infrastructure ensures that sensitive financial data is secure and protected against cyber threats.

Security and data privacy are essential in financial operations, and Dynamics 365 Finance meets these demands by providing robust encryption and access control features. This way, businesses can be confident that their financial data is not only compliant but also safe.

The Role of VBeyond Digital

VBeyond Digital, as a leading service provider for Dynamics 365 Finance, assists businesses in implementing and optimizing this powerful financial tool. With deep expertise and a client-centric approach, VBeyond Digital ensures that organizations can fully leverage the capabilities of Dynamics 365 Finance. Their tailored support helps companies streamline financial processes, enhance data insights, and improve overall operational efficiency.

By partnering with VBeyond Digital, businesses gain a trusted advisor in maximizing the value of Dynamics 365 Finance, helping them achieve higher efficiency and a competitive advantage in managing financial operations.

Conclusion

Dynamics 365 Finance is transforming how companies approach financial management. From automation and data insights to security and compliance, it addresses the core challenges of modern financial operations. With partners like VBeyond Digital, organizations can navigate the complexities of implementation and take full advantage of Dynamics 365 Finance's robust features. As a result, businesses are better positioned to optimize financial processes, reduce costs, and drive strategic growth.

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