#gen ai development

[cubixglobal]

Artificial Intelligence Outsourcing in 2025

As artificial intelligence (AI) transforms businesses, many companies struggle with the investments of time, money, and effort needed to develop AI solutions internally.

Outsourcing artificial intelligence (AI) development has emerged as an alternative, but questions persist about costs, benefits, and best practices.

How much does AI outsourcing cost?

How does AI outsourcing work?

Why should I invest in AI outsourcing?

These are some questions business owners often have, and in this blog, we’ll answer all these questions in detail.

Keep reading as we explore how AI outsourcing facilitates your AI innovation goals and why partnering with Cubix, a trusted AI development company, can be your best bet.

[muthu98]

Generative AI Development Services Company—GeekyAnts Lead with Generative AI! GeekyAnts' Generative AI development services crafts intelligent solutions for businesses. Unleash creativity, boost efficiency, drive superior results. Be future-ready, today!

[10001gecs]

one 100 word email written with ai costs roughly one bottle of water to produce. the discussion of whether or not using ai for work is lazy becomes a non issue when you understand there is no ethical way to use it regardless of your intentions or your personal capabilities for the task at hand

with all due respect, this isnt true. *training* generative ai takes a ton of power, but actually using it takes about as much energy as a google search (with image generation being slightly more expensive). we can talk about resource costs when averaged over the amount of work that any model does, but its unhelpful to put a smokescreen over that fact. when you approach it like an issue of scale (i.e. "training ai is bad for the environment, we should think better about where we deploy it/boycott it/otherwise organize abt this) it has power as a movement. but otherwise it becomes a personal choice, moralizing "you personally are harming the environment by using chatgpt" which is not really effective messaging. and that in turn drives the sort of "you are stupid/evil for using ai" rhetoric that i hate. my point is not whether or not using ai is immoral (i mean, i dont think it is, but beyond that). its that the most common arguments against it from ostensible progressives end up just being reactionary

i like this quote a little more- its perfectly fine to have reservations about the current state of gen ai, but its not just going to go away.

[pocket-size-cthulhu]

Data thieves when someone steals the stolen data:

The article is well worth the read.

[daemon-in-my-head]

Just saw the news regarding twitters updated terms of service and AI training

Glad that I'm solely using it for work 9/10 times anyway. The chances of me posting there were low, but consider them pretty much 0 atp lmfao

[elsa16744]

10 Ways Artificial Intelligence is Transforming the Market Research Industry

Artificial intelligence (AI) is revolutionizing various industries, and the market research solutions sector is no exception. By harnessing the power of AI, companies can gain deeper insights into consumer behavior, optimize their strategies, and make data-driven decisions with greater precision. In this article, we’ll explore 10 transformative ways AI is reshaping the market research industry and how Gen AI development solutions are at the forefront of this evolution.

Understanding What Market Research Necessitates

Market research is essential for businesses seeking to understand consumer needs, preferences, and market dynamics. It involves collecting and analyzing data from various sources to inform strategic decisions. Effective market research solutions help brands grow by uncovering valuable insights into consumer behavior, market trends, and competitive positioning.

10 Ways Artificial Intelligence is Transforming the Market Research Industry

1. Context-Aware Virtual Chatbots

The use of context-aware virtual chatbots has become increasingly popular in market research. These advanced AI-driven tools engage customers in meaningful conversations, gather qualitative feedback, and provide insights into consumer preferences. By automating interactions and analyzing responses, businesses can enhance their market research efforts and increase survey participation.

2. Real-Time Behavior Monitoring

AI-powered tools enable real-time behavior monitoring, offering valuable insights into consumer interactions and product usage patterns. This real-time data helps businesses identify trends, optimize user experiences, and improve customer satisfaction.

3. Unstructured Data Processing

Processing unstructured data from sources like social media, news articles, and multimedia content is a critical aspect of market research. AI-driven solutions excel at unstructured data processing, turning diverse information into actionable insights for market research strategies.

4. Emotion-Driven Profiling

AI technologies enable emotion-driven profiling by analyzing sentiment and emotional responses from customer feedback. This approach helps businesses understand emotional drivers behind consumer behavior and refine their marketing strategies.

5. Predictive Analytics

With predictive analytics, AI helps market researchers forecast future trends, customer behaviors, and market shifts. These insights empower businesses to make informed decisions and stay ahead of the competition.

6. Customer Segmentation

AI enhances customer segmentation by analyzing data to group consumers based on shared characteristics. This segmentation enables businesses to create targeted marketing campaigns and improve customer engagement.

7. Cost-Time Analysis and Optimization

AI solutions streamline market research processes, reducing both cost and time. Through automation and advanced analytics, businesses can conduct comprehensive market studies efficiently, making cost-time optimization accessible to companies of all sizes.

8. Extensive Automation

AI facilitates extensive automation in market research tasks, allowing for continuous data collection and analysis. This automation frees up resources and enables employees to focus on strategic decision-making.

9. Product Performance Simulation

AI-driven product performance simulations allow businesses to test and refine product concepts in virtual environments. These simulations provide valuable insights into product durability, user experience, and potential improvements.

10. Risk Monitoring and Resolution

AI-powered risk monitoring tools help businesses identify potential issues in marketing strategies and product developments. By analyzing data for risk monitoring, businesses can implement proactive measures and ensure resilience against market fluctuations.

Conclusion

AI is a game-changer for the market research industry, offering innovative solutions for data analysis, customer engagement, and strategic planning. By exploring advanced market research solutions and leveraging Gen AI development solutions, businesses can unlock new opportunities and stay competitive in a rapidly evolving market landscape. Embracing these technologies will be crucial for market research professionals looking to drive success in the future.

[simulanissolutions]

The Metaverse is transforming education by enabling immersive, interactive, and engaging learning experiences.  Simulanis, a leader in AR, VR, MR, and Metaverse solutions, is at the forefront of this revolution, developing cutting-edge immersive learning technologies for various industries.

[nitor-infotech]

Drive business growth with CPQ software that automates quoting, pricing, and configurations. Additionally, learn to reduce errors, streamline sales cycles, and stay competitive in this dynamic environment. Also, explore how industries like manufacturing, retail, and SaaS benefit from CPQ automation. 

[jcmarchi]

Making Professional Development More Accessible for SMBs

New Post has been published on https://thedigitalinsider.com/making-professional-development-more-accessible-for-smbs/

Making Professional Development More Accessible for SMBs

Training employees on new skills is tough for small businesses. Most businesses have no shortage of ideas on how owners and managers can help their team improve performance and learn skills, but small businesses are usually not built with professional development in mind. The core business comes first, as it should; and there is unlikely to be someone on staff with the background needed to effectively write and deliver training materials. Ultimately it means that professional development gets put on the back burner and often never happens. According to CompTIA, half of US companies don’t have formal training strategies in place to address the skills gap*. The employees, customers and ultimately the business pay the price.

Increasingly, generative AI can help any small business develop professional development materials.  Here’s how our small communications agency went from talking about putting together training materials to having a pretty solid first draft in 15 minutes— with the help of free AI tools.

As part of our ongoing employee development at Gova10 we knew that one topic we wanted to cover was improving outreach and pitching our clients’ stories to journalists. All of our employees know the basics but it’s always good to review and there were definitely best practices to share.

Knowing you want to train your team on something and actually taking your knowledge and developing it into a professional development program or session are two very different things. You need to:

Collect the information from those with the knowledge.

Consolidate the information and develop the key messages.

Design an engaging presentation that conveys the key messages.

Each of these tasks can get assigned and reprioritized several times based on more urgent work and tasks waiting for attention.  After all, we are communications people, not learning development professionals.

On a recent Wednesday, with the help of free AI tools, we built a solid first draft in about 15 minutes.

That doesn’t mean we had the finished product that quickly, but we had a deck that was about 70% of the way there.

We used the methods described for a training session on pitching stories to media, but these tools can be utilized to develop materials for any topic.

Fathom

We started using meeting transcription tool Fathom several months ago after seeing it in use by a client of ours. The accuracy of the transcription far surpassed the accuracy of competitors we had tried, and was head and shoulders above the native transcription offering in Google Meet, in our experience.  Fathom’s impressive AI generated notes and action items have wowed several of our customers after seeing us use the tool.

So when we started talking about the professional development initiative during a recent meeting of the Gova10 VPs– at first we discussed all the reasons why we would struggle to have it prepared in time for an upcoming meeting—I quickly added my Fathom notetaker to the Meet call. I explained to the notetaker that our goal was to capture the content that we want to cover in the training session. Then we each took turns speaking about the challenges and opportunities available to improve how our team pitches  the media.  We mostly agreed and added additional ideas, and we debated a few points and if they should be included in the training.

About 5 minutes after we hung up, Fathom sent a summary of the meeting including bullet points on what we had discussed.  These bullet points captured almost perfectly the content we wanted to convey.

Gamma

Now that we had a strong AI generated outline, we needed to put it in a format that we could present to our team. Gamma is an AI tool that generates presentations based either on a short prompt or a full outline. The more information you give it, like all Gen AI tools, the better it performs.

Gamma offered me some layout preferences and within seconds built me a deck.  It did a great job of further organizing and refining my outline and varying the look and feel of each slide while still keeping a consistent look. However, the images Gamma provided didn’t quite hit the mark, so I swapped them out with pictures related to the material, and filled in with pictures from a team photoshoot. This made the presentation feel familiar and fun instead of AI generated. The VPs then went through the deck and made edits to ensure it was clear and carried all the desired messaging.

ChatGPT

For the pitch training, the Fathom-generated bullet points were enough, but a few months ago I was in a slightly different situation. I needed to prepare a media training presentation for a client’s spokesperson.  A few days before, I had given an informal media training session to a different spokesperson.  I took the Fathom transcript from that training session and uploaded it to ChatGPT with a prompt asking it to organize and distill the ideas I had discussed.  ChatGPT did its work in generating an outline and then I was able to feed that into Gamma for a polished-looking presentation.

AI can’t do it all…yet

Before we delivered the employee training we decided to include relevant “pitch-to-story” examples that we could review, showing how past pitches to journalists resulted in articles in the media featuring our clients.  We also added an exercise where team members paired off and developed a media pitch, which we then reviewed and critiqued together.

The ideas were ours. The execution was ours, but AI definitely helped us get the material in front of the team quickly and in an organized manner in minutes instead of hours—or maybe never.  We’re not being replaced with AI just yet, but AI saved us time and took away the stress of preparing the content.

We are already seeing better results from our junior associates that went through the training. Any business can adopt this practice and make professional development more accessible for any topic that needs further employee development.

[customsoftwarephilippines]

Generative Edge AI: The next frontier for AI Tech

Generative Edge AI’s Arrival An interesting crossroad is currently being crossed in Information Technology where computer, smartphone, and tablet hardware are becoming more and more powerful and at the same time, Generative AI algorithms, that previously needed multiple, powerful servers to run, are becoming more resource-efficient. Famously, China’s DeepSeek purportedly matches or even…

[cubixglobal]

How to Build an LLM Like DeepSeek?

This blog elaboraes how DeepSeek built an LLM model that’s just as good as ChatGPT for a fraction of the cost. We’ll also explore the steps AI startups can take to build such models on their own and how partnering with a trusted AI development company like Cubix can help.

[inder-rathore]

Google Gemini A multimodal AI model by Google DeepMind, Gemini excels in processing and integrating text and images, facilitating a wide range of applications from content creation to complex data analysis.

[priyankasharma63]

Get the Most Out of AI with GenAI Consulting Services

[mikestek]

Android vs iOS - Which OS is right for you?

Over the years, the debate between Android and iOS has intensified, making it vital for you to understand the unique features each operating system offers. Android provides a wide range of devices with customizable options, while iOS boasts a seamless user experience and consistent updates. Your choice can impact everything from app availability to device performance. Whether you prioritize…

[kratomqueen]

we need a complete and total shutdown of people under 18 being allowed on social media until we figure out what the hell is going on

[grey-chain]

Empowering the Workforce: The Role of GenAI in Augmenting Human Capabilities

GenAI is a valuable resource and can be an excellent ally for businesses to augment human capabilities and ensure enhanced productivity, innovation, and holistic business growth. According to a structural review paper published in ResearchGate,

When integrated into a team member, artificial intelligence can significantly enhance team dynamics. AI can improve coordination, knowledge sharing, and decision-making processes by augmenting human capabilities. However, potential challenges such as AI-human interaction, privacy, and ethical implications must be carefully considered. Addressing these concerns is crucial to fully harnessing the benefits of AI in collaborative environments.

Want to delve deeper and know how Generative AI can be an excellent resource for businesses in 2025?

Let’s explore.

Generative AI Business Solutions: Augmenting Human Capabilities for Collaborative Business Environments

Generative AI business solutions can empower the workforce and business in several ways:

Automating Manual and Repetitive Tasks

McKinsey & Company stated in its report that GenAI business applications have doubled since 2017. Enterprise automation, process automation, and several other types of Generative business solutions have enhanced the efficiency of the workforce and reduced human error with a significant scope for strategic thinking.

Businesses should implement GenAI-powered business solutions to streamline workflows, improve efficiency, free up employees’ time for creative and strategic tasks, and increase productivity across departments and factories.

Enhancing Creativity

Employees can leverage the power of Generative AI to prompt new ideas and perspectives, igniting innovation and creativity. Businesses can use GenAI for diverse content genres, such as social media content, taglines for brands and web pages, marketing copy, and product descriptions, saving time and effort significantly.

Facilitating Innovation

AWS Generative AI and other advanced AI-powered business solutions analyse data, identify patterns and trends and provide crucial insights for core business decisions. It accelerates research and encourages the development of new products and services.

Personalising the Employee Experience

Generative AI enables tailored employee training, upskilling, and enhanced employee experience, reflecting improved productivity and engagement. Alexa, Siri, and Copilot are excellent virtual assistants for real-time support.

Ethical Considerations for Businesses

Bias and fairness

Job displacement and challenge for businesses to upskill and reskill existing workforce

Data privacy and security

Conclusion

GenAI presents a transformative opportunity to augment human capabilities and revolutionize the workplace. Generative AI can significantly boost productivity and efficiency across various sectors by automating mundane tasks, fostering creativity, and accelerating innovation. However, to fully realise its potential, addressing ethical concerns such as bias, privacy, and job displacement is imperative. By carefully navigating these challenges, we can harness the power of GenAI to create a future where technology and human ingenuity work in harmony.