#artificial intelligence| ai development companies| ai in business| ai for business automation| ai development| artificial intelligence ai| a

[jcmarchi]

Shaping AI-optimised networks and enhancing security

New Post has been published on https://thedigitalinsider.com/shaping-ai-optimised-networks-and-enhancing-security/

Shaping AI-optimised networks and enhancing security

.pp-multiple-authors-boxes-wrapper display:none; img width:100%;

As AI applications evolve, they place greater demands on network infrastructure, particularly in terms of latency and connectivity.

Supporting large-scale AI deployments introduces new issues, and analysts predict that AI-related traffic will soon account for a major portion of total network traffic. The industry must be prepared to handle this surge effectively. F5 is adapting its solutions to manage the complexity of AI workloads, and its technology now includes real-time processing of multimodal data.

Kunal Anand, Chief Technology and AI Officer at F5 (Source – F5)

AI presents both opportunities and risks in security, as it has the capability to enhance protection while also enabling AI-driven cyber threats. Collaboration among hyperscalers, telcos, and technology companies is critical for establishing AI-optimised networks. Collaboration and innovation continue to change the AI networking landscape, and F5 is dedicated to driving progress in this area.

Ahead of AI & Big Data Expo Europe, Kunal Anand, Chief Technology and AI Officer at F5, discusses the company’s role and initiatives to stay at the forefront of AI-enabled networking solutions.

AI News: As AI applications evolve, the demands on network infrastructure are becoming more complex. What key challenges does the industry face regarding latency and connectivity in supporting large-scale AI deployments?

Anand: F5 discovered that AI has drastically transformed application architectures. Some companies are investing billions of dollars in AI factories – massive GPU clusters – while others prefer cloud-based solutions or small language models (SLMs) as less expensive alternatives.

Network architectures are evolving to address these challenges. AI factories operate on distinct networking stacks, like InfiniBand with specific GPUs like the H100s or NVIDIA’s upcoming Blackwell series. At the same time, cloud-based technologies and GPU clouds are advancing.

A major trend is data gravity, where organisations’ data is locked in specific environments. This has driven the evolution of multi-cloud architectures, allowing workloads to link with data across environments for retrieval-augmented generation (RAG).

As RAG demands rise, organisations face higher latency because of limited resources, whether from heavily used data stores or limited sets of GPU servers.

AI News: As analysts predict AI-related traffic will soon make up a significant portion of network traffic. What unique challenges does this influx of AI-generated traffic pose for existing network infrastructure, and how do you see the industry preparing for it?

Anand: F5 believes that by the end of the decade, most applications will be AI-powered or AI-driven, necessitating augmentation across the network services chain. These applications will use APIs to communicate with AI factories and third-party services, access data for RAG, and potentially expose their own APIs. Essentially, APIs will be the glue holding this ecosystem together, as analysts have suggested.

Looking ahead, AI-related traffic is expected to dominate network traffic as AI becomes increasingly integrated into applications and APIs. As AI becomes central to practically all applications, AI-related traffic will naturally increase.

AI News: With AI applications becoming more complex and processing multimodal data in real time, how is F5 adapting its solutions to ensure networks can efficiently manage these dynamic workloads?

Anand: F5 looks at this from many angles. In the case of RAG, when data – whether images, binary streams, or text – must be retrieved from a data storage, the method is the same regardless of data format. Customers often want quick Layer 4 load balancing, traffic management, and steering capabilities, all of which F5 excels at. The company provides organisations with load balancing, traffic management, and security services, guaranteeing RAG has efficient data access. F5 has also enabled load balancing among AI factories.

In some cases, large organisations manage massive GPU clusters with tens of thousands of GPUs. Since AI workloads are unpredictable, these GPUs may be available or unavailable depending on the workload. F5 ensures efficient traffic routing, mitigating the unpredictability of AI workloads.

F5 improves performance, increases throughput, and adds security capabilities for organisations building AI factories and clusters.

AI News: As AI enhances security while also posing AI-driven cyber threats, what approaches is F5 taking to strengthen network security and resilience against these evolving challenges?

Anand: There are many different AI-related challenges on the way. Attackers are already employing AI to generate new payloads, find loopholes, and launch unique attacks. For example, ChatGPT and visual transformers have the ability to break CAPTCHAs, especially interactive ones. Recent demonstrations have shown the sophistication of these attacks.

As seen in past security patterns, every time attackers gain an advantage with new technology, defenders must rise to the challenge. This often necessitates reconsidering security models, like shifting from “allow everything, deny some” to “allow some, deny everything.” Many organisations are exploring solutions to combat AI-driven threats.

F5 is making big investments to keep ahead of AI-driven threats. As part of its F5 intelligence programme, the company is developing, training, and deploying models, which are supported by its AI Center of Excellence.

Earlier this year, F5 launched an AI data fabric, with a team dedicated to developing models that serve the entire business, from policy creation to insight delivery. F5 feels it is well placed to face these rising issues.

AI News: What role do partnerships play in developing the next generation of AI-optimised networks, especially between hyperscalers, telcos, and tech companies?

Anand: Partnerships are important for AI development. The AI stack is complex and involves several components, including electricity, data centres, hardware, servers, GPUs, memory, computational power, and a networking stack, all of which must function together. It is unusual for a single organisation to oversee everything from start to finish.

F5 focuses on establishing and maintaining the necessary partnerships in computation, networking, and storage to support AI.

AI News: How does F5 view its role in advancing AI networking, and what initiatives are you focusing on to stay at the forefront of AI-enabled networking solutions?

Anand: F5 is committed to developing its technology platform. The AI Data Fabric, launched earlier this year, will work with the AI Center of Excellence to prepare the organisation for the future.

F5 is also forming strong partnerships, with announcements to come. The company is excited about its work and the rapid pace of global change. F5’s unique vantage point – processing worldwide traffic – enables it to correlate data insights with industry trends. F5 also intends to be more forthcoming about its research and models, with some open-source contributions coming soon.

Overall, F5 is incredibly optimistic about the future. The transformative impact of AI is remarkable, and it is an exciting time to be part of this shift.

(Image by Lucent_Designs_dinoson20)

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

Tags: artificial intelligence, cybersecurity, network

[technon899]

artificial intelligence| ai development companies| ai in business| ai for business automation| ai development| artificial intelligence ai| ai technology| ai companies| ai developers| ai intelligence| generative ai| ai software development| top ai companies| ai ops| ai software companies| companies that work on ai| artificial intelligence service providers in india| artificial intelligence companies|

[technon913]

artificial intelligence| ai development companies| ai in business| ai for business automation| ai development| artificial intelligence ai| ai technology| ai companies| ai developers| ai intelligence| generative ai| ai software development| top ai companies| ai ops| ai software companies| companies that work on ai| artificial intelligence service providers in india| artificial intelligence companies| customer service ai| ai model| leading ai companies| ai in customer support| ai solutions for small business| ai for business book| basic knowledge for artificial intelligence| matching in artificial intelligence|

[probablyasocialecologist]

This is it. Generative AI, as a commercial tech phenomenon, has reached its apex. The hype is evaporating. The tech is too unreliable, too often. The vibes are terrible. The air is escaping from the bubble. To me, the question is more about whether the air will rush out all at once, sending the tech sector careening downward like a balloon that someone blew up, failed to tie off properly, and let go—or more slowly, shrinking down to size in gradual sputters, while emitting embarrassing fart sounds, like a balloon being deliberately pinched around the opening by a smirking teenager. But come on. The jig is up. The technology that was at this time last year being somberly touted as so powerful that it posed an existential threat to humanity is now worrying investors because it is apparently incapable of generating passable marketing emails reliably enough. We’ve had at least a year of companies shelling out for business-grade generative AI, and the results—painted as shinily as possible from a banking and investment sector that would love nothing more than a new technology that can automate office work and creative labor—are one big “meh.” As a Bloomberg story put it last week, “Big Tech Fails to Convince Wall Street That AI Is Paying Off.” From the piece: Amazon.com Inc., Microsoft Corp. and Alphabet Inc. had one job heading into this earnings season: show that the billions of dollars they’ve each sunk into the infrastructure propelling the artificial intelligence boom is translating into real sales. In the eyes of Wall Street, they disappointed. Shares in Google owner Alphabet have fallen 7.4% since it reported last week. Microsoft’s stock price has declined in the three days since the company’s own results. Shares of Amazon — the latest to drop its earnings on Thursday — plunged by the most since October 2022 on Friday. Silicon Valley hailed 2024 as the year that companies would begin to deploy generative AI, the type of technology that can create text, images and videos from simple prompts. This mass adoption is meant to finally bring about meaningful profits from the likes of Google’s Gemini and Microsoft’s Copilot. The fact that those returns have yet to meaningfully materialize is stoking broader concerns about how worthwhile AI will really prove to be. Meanwhile, Nvidia, the AI chipmaker that soared to an absurd $3 trillion valuation, is losing that value with every passing day—26% over the last month or so, and some analysts believe that’s just the beginning. These declines are the result of less-than-stellar early results from corporations who’ve embraced enterprise-tier generative AI, the distinct lack of killer commercial products 18 months into the AI boom, and scathing financial analyses from Goldman Sachs, Sequoia Capital, and Elliot Management, each of whom concluded that there was “too much spend, too little benefit” from generative AI, in the words of Goldman, and that it was “overhyped” and a “bubble” per Elliot. As CNN put it in its report on growing fears of an AI bubble, Some investors had even anticipated that this would be the quarter that tech giants would start to signal that they were backing off their AI infrastructure investments since “AI is not delivering the returns that they were expecting,” D.A. Davidson analyst Gil Luria told CNN. The opposite happened — Google, Microsoft and Meta all signaled that they plan to spend even more as they lay the groundwork for what they hope is an AI future. This can, perhaps, explain some of the investor revolt. The tech giants have responded to mounting concerns by doubling, even tripling down, and planning on spending tens of billions of dollars on researching, developing, and deploying generative AI for the foreseeable future. All this as high profile clients are canceling their contracts. As surveys show that overwhelming majorities of workers say generative AI makes them less productive. As MIT economist and automation scholar Daron Acemoglu warns, “Don’t believe the AI hype.”

6 August 2024

[sunshinesmebdy]

Pluto in Aquarius: Brace for a Business Revolution (and How to Ride the Wave)

The Aquarian Revolution

Get ready, entrepreneurs and financiers, because a seismic shift is coming. Pluto, the planet of transformation and upheaval, has just entered the progressive sign of Aquarius, marking the beginning of a 20-year period that will reshape the very fabric of business and finance. Buckle up, for this is not just a ripple – it's a tsunami of change. Imagine a future where collaboration trumps competition, sustainability dictates success, and technology liberates rather than isolates. Aquarius, the sign of innovation and humanitarianism, envisions just that. Expect to see:

Rise of social impact businesses

Profits won't be the sole motive anymore. Companies driven by ethical practices, environmental consciousness, and social good will gain traction. Aquarius is intrinsically linked to collective well-being and social justice. Under its influence, individuals will value purpose-driven ventures that address crucial societal issues. Pluto urges us to connect with our deeper selves and find meaning beyond material gains. This motivates individuals to pursue ventures that resonate with their personal values and make a difference in the world.

Examples of Social Impact Businesses

Sustainable energy companies: Focused on creating renewable energy solutions while empowering local communities.

Fair-trade businesses: Ensuring ethical practices and fair wages for producers, often in developing countries.

Social impact ventures: Addressing issues like poverty, education, and healthcare through innovative, community-driven approaches.

B corporations: Certified businesses that meet rigorous social and environmental standards, balancing profit with purpose.

Navigating the Pluto in Aquarius Landscape

Align your business with social impact: Analyze your core values and find ways to integrate them into your business model.

Invest in sustainable practices: Prioritize environmental and social responsibility throughout your operations.

Empower your employees: Foster a collaborative environment where everyone feels valued and contributes to the social impact mission.

Build strong community partnerships: Collaborate with organizations and communities that share your goals for positive change.

Embrace innovation and technology: Utilize technology to scale your impact and reach a wider audience.

Pluto in Aquarius presents a thrilling opportunity to redefine the purpose of business, moving beyond shareholder value and towards societal well-being. By aligning with the Aquarian spirit of innovation and collective action, social impact businesses can thrive in this transformative era, leaving a lasting legacy of positive change in the world.

Tech-driven disruption

AI, automation, and blockchain will revolutionize industries, from finance to healthcare. Be ready to adapt or risk getting left behind. Expect a focus on developing Artificial Intelligence with ethical considerations and a humanitarian heart, tackling issues like healthcare, climate change, and poverty alleviation. Immersive technologies will blur the lines between the physical and digital realms, transforming education, communication, and entertainment. Automation will reshape the job market, but also create opportunities for new, human-centered roles focused on creativity, innovation, and social impact.

Examples of Tech-Driven Disruption:

Decentralized social media platforms: User-owned networks fueled by blockchain technology, prioritizing privacy and community over corporate profits.

AI-powered healthcare solutions: Personalized medicine, virtual assistants for diagnostics, and AI-driven drug discovery.

VR/AR for education and training: Immersive learning experiences that transport students to different corners of the world or historical periods.

Automation with a human touch: Collaborative robots assisting in tasks while freeing up human potential for creative and leadership roles.

Navigating the Technological Tsunami:

Stay informed and adaptable: Embrace lifelong learning and upskilling to stay relevant in the evolving tech landscape.

Support ethical and sustainable tech: Choose tech products and services aligned with your values and prioritize privacy and social responsibility.

Focus on your human advantage: Cultivate creativity, critical thinking, and emotional intelligence to thrive in a world increasingly reliant on technology.

Advocate for responsible AI development: Join the conversation about ethical AI guidelines and ensure technology serves humanity's best interests.

Connect with your community: Collaborate with others to harness technology for positive change and address the potential challenges that come with rapid technological advancements.

Pluto in Aquarius represents a critical juncture in our relationship with technology. By embracing its disruptive potential and focusing on ethical development and collective benefit, we can unlock a future where technology empowers humanity and creates a more equitable and sustainable world. Remember, the choice is ours – will we be swept away by the technological tsunami or ride its wave towards a brighter future?

Decentralization and democratization

Power structures will shift, with employees demanding more autonomy and consumers seeking ownership through blockchain-based solutions. Traditional institutions, corporations, and even governments will face challenges as power shifts towards distributed networks and grassroots movements. Individuals will demand active involvement in decision-making processes, leading to increased transparency and accountability in all spheres. Property and resources will be seen as shared assets, managed sustainably and equitably within communities. This transition won't be without its bumps. We'll need to adapt existing legal frameworks, address digital divides, and foster collaboration to ensure everyone benefits from decentralization.

Examples of Decentralization and Democratization

Decentralized autonomous organizations (DAOs): Self-governing online communities managing shared resources and projects through blockchain technology.

Community-owned renewable energy initiatives: Local cooperatives generating and distributing clean energy, empowering communities and reducing reliance on centralized grids.

Participatory budgeting platforms: Citizens directly allocate local government funds, ensuring public resources are used in line with community needs.

Decentralized finance (DeFi): Peer-to-peer lending and borrowing platforms, bypassing traditional banks and offering greater financial autonomy for individuals.

Harnessing the Power of the Tide:

Embrace collaborative models: Participate in co-ops, community projects, and initiatives that empower collective ownership and decision-making.

Support ethical technology: Advocate for blockchain platforms and applications that prioritize user privacy, security, and equitable access.

Develop your tech skills: Learn about blockchain, cryptocurrencies, and other decentralized technologies to navigate the future landscape.

Engage in your community: Participate in local decision-making processes, champion sustainable solutions, and build solidarity with others.

Stay informed and adaptable: Embrace lifelong learning and critical thinking to navigate the evolving social and economic landscape.

Pluto in Aquarius presents a unique opportunity to reimagine power structures, ownership models, and how we interact with each other. By embracing decentralization and democratization, we can create a future where individuals and communities thrive, fostering a more equitable and sustainable world for all. Remember, the power lies within our collective hands – let's use it wisely to shape a brighter future built on shared ownership, collaboration, and empowered communities.

Focus on collective prosperity

Universal basic income, resource sharing, and collaborative economic models may gain momentum. Aquarius prioritizes the good of the collective, advocating for equitable distribution of resources and opportunities. Expect a rise in social safety nets, universal basic income initiatives, and policies aimed at closing the wealth gap. Environmental health is intrinsically linked to collective prosperity. We'll see a focus on sustainable practices, green economies, and resource sharing to ensure a thriving planet for generations to come. Communities will come together to address social challenges like poverty, homelessness, and healthcare disparities, recognizing that individual success is interwoven with collective well-being. Collaborative consumption, resource sharing, and community-owned assets will gain traction, challenging traditional notions of ownership and fostering a sense of shared abundance.

Examples of Collective Prosperity in Action

Community-owned renewable energy projects: Sharing the benefits of clean energy production within communities, democratizing access and fostering environmental sustainability.

Cooperatives and worker-owned businesses: Sharing profits and decision-making within companies, leading to greater employee satisfaction and productivity.

Universal basic income initiatives: Providing individuals with a basic safety net, enabling them to pursue their passions and contribute to society in meaningful ways.

Resource sharing platforms: Platforms like carsharing or tool libraries minimizing individual ownership and maximizing resource utilization, fostering a sense of interconnectedness.

Navigating the Shift

Support social impact businesses: Choose businesses that prioritize ethical practices, environmental sustainability, and positive social impact.

Contribute to your community: Volunteer your time, skills, and resources to address local challenges and empower others.

Embrace collaboration: Seek opportunities to work together with others to create solutions for shared problems.

Redefine your own path to prosperity: Focus on activities that bring you personal fulfillment and contribute to the collective good.

Advocate for systemic change: Support policies and initiatives that promote social justice, environmental protection, and equitable distribution of resources.

Pluto in Aquarius offers a unique opportunity to reshape our definition of prosperity and build a future where everyone thrives. By embracing collective well-being, collaboration, and sustainable practices, we can create a world where abundance flows freely, enriching not just individuals, but the entire fabric of society. Remember, true prosperity lies not in what we hoard, but in what we share, and by working together, we can cultivate a future where everyone has the opportunity to flourish.

[accountsend]

Optimizing B2B Contact Databases: Strategies for Better Targeting

Article by Jonathan Bomser | CEO | AccountSend.com

As a B2B business, your contact database is one of the most valuable assets you have. It enables targeted sales outreach, precision marketing, and effective lead generation, thus driving sales and growth. In this article, we will explore seven key strategies for enhancing your B2B contact database for superior targeting. By implementing these strategies, you can significantly enhance your targeting, boost conversions, and drive business growth.

DOWNLOAD THE B2B CONTACT DATABASES INFOGRAPHIC HERE

Regularly Cleanse and Update Your Database

A clean and updated B2B contact database is essential for effective sales prospecting and business development. Regularly purge outdated information, remove duplicates, and update existing contact data to maintain accuracy. CRM integration can automate this process, ensuring your database remains current and reliable. By keeping your database clean and up-to-date, you can ensure that your sales and marketing efforts are based on accurate and relevant information.

Segment Your Contact Database

Segmentation is a powerful tool for B2B lead generation and sales prospecting. It involves categorizing your database into distinct groups based on shared characteristics, such as industry type, company size, or role. This facilitates personalized communication, enhancing engagement and conversion rates. By segmenting your contact database, you can tailor your messaging and content to specific audience segments, increasing the relevance and effectiveness of your communication.

Implement a Lead Scoring System

Lead scoring is a crucial aspect of B2B lead generation and sales funnel optimization. It assigns value to each contact based on their potential to convert into a customer. It helps prioritize your outreach, ensuring you focus on high-value leads, which can lead to improved sales opportunities. By implementing a lead scoring system, you can allocate your resources effectively and focus on the leads that are most likely to result in conversions.

Embrace Account-Based Marketing (ABM)

Account-Based Marketing (ABM) is a highly effective B2B marketing strategy that targets specific high-value accounts with customized campaigns. Integrating ABM with your B2B contact database ensures a highly tailored approach, enhancing your chances of winning over key accounts. By aligning your marketing and sales efforts with the specific needs and preferences of target accounts, you can increase engagement and drive business growth.

Leverage Data Analysis

Data analysis is a powerful tool for B2B lead generation and sales prospecting. It helps you uncover invaluable insights into your contacts' behavior and preferences, guiding your marketing and sales strategy. By analyzing data from your B2B contact database, you can make data-driven decisions and optimize your targeting efforts. You can also use data analysis to identify emerging markets and stay ahead of the competition.

Utilize AI for Enhanced Database Management

Artificial Intelligence (AI) is transforming the way B2B businesses manage their contact databases. AI-powered systems can automate tasks like data cleansing, lead scoring, and market segmentation, leaving your team free to focus on creating effective sales and marketing strategies. By leveraging AI technology, you can improve the efficiency and accuracy of your database management processes, saving time and resources.

Adopt a Continuous Improvement Approach

Data management is not a one-time activity. Consistently review your strategies and update them based on performance data and evolving market trends. This will keep your database agile and ensure your targeting remains effective. By continuously improving your B2B contact database and refining your targeting strategies, you can stay ahead of the competition and drive ongoing business growth.

In summary, optimizing your B2B contact database involves regular updates, effective segmentation, lead scoring, ABM, data analysis, AI integration, and a continuous improvement mindset. These strategies, when implemented correctly, can significantly enhance your targeting, boost conversions, and drive business growth. By leveraging the power of a well-optimized B2B contact database, you can unlock the full potential of your sales and marketing efforts.

[nividawebsolutions]

How Artificial Intelligence is Transforming the Future of IT Services

In an age dominated by technological advancements, the integration of Artificial Intelligence (AI) has emerged as a revolutionary force, reshaping the landscape of IT services globally. As businesses strive to stay ahead in the digital race, it becomes imperative to understand the transformative power of AI in the realm of Information Technology. In this blog post, we explore how Artificial Intelligence is not just a trend but a fundamental shift that is redefining the future of IT services.

Embracing AI for Enhanced Efficiency

1. Intelligent Automation:

AI-driven automation has become the cornerstone of IT services, streamlining processes, and significantly reducing operational costs. Nivida Software, as a leading IT company in India, recognizes the pivotal role of AI in optimizing workflows and increasing overall efficiency.

2. Predictive Analysis:

Nivida Software leverages AI algorithms to analyze vast datasets, enabling proactive identification of potential issues and predicting trends. By staying ahead of challenges, our IT services ensure a seamless experience for clients across Gujarat and Vadodara.

Delivering Precision with AI-Powered Solutions

3. Customized IT Solutions:

As an innovative IT company in Gujarat, Nivida Software understands the diverse needs of businesses. AI allows us to create tailored solutions that align with the unique requirements of our clients, ensuring maximum impact and value.

4. Enhanced Security Measures:

The integration of AI in IT services goes beyond efficiency; it's about fortifying digital landscapes. Nivida Software employs AI-driven security measures to safeguard sensitive data and protect against evolving cyber threats, setting new standards for IT security in Vadodara. Pioneering AI at Nivida Software

5. Cutting-Edge Development:

Nivida Software is at the forefront of AI development, constantly pushing boundaries to create innovative solutions. As an IT company in India, our commitment to staying ahead in the technological curve positions us as a reliable partner for businesses seeking cutting-edge IT services.

6. Nurturing Talent:

The future of IT services lies in the hands of skilled professionals. Nivida Software invests in talent development, ensuring that our team remains well-versed in the latest AI advancements, delivering top-notch services across India, Gujarat, and Vadodara.

Conclusion

Artificial Intelligence is not merely a technological evolution; it's a paradigm shift that is reshaping the future of IT services. Nivida Software, as a forward-thinking IT company, embraces AI to deliver unparalleled solutions to clients in India, Gujarat, and Vadodara. The journey towards a digitally transformed future begins with Nivida Software – where innovation meets excellence in IT services.

[netscapelabsinfotech]

AI is Shaping the Future of Educational Apps

Artificial Intelligence is transforming education, making it more personalized, efficient, and engaging. Here’s why this is so important:

Tailored Learning Experiences: AI adapts educational content to meet each student’s unique needs, enhancing their learning journey and boosting outcomes.

24/7 Support: AI-driven virtual tutors offer around-the-clock assistance, helping students overcome challenges and stay motivated.

Data-Driven Decisions: Educators can use AI insights to refine teaching strategies and address learning gaps more effectively.

Administrative Relief: Automating tasks like grading and scheduling frees up valuable time for educators to focus on interactive teaching.

Engaging Interactions: AI powers immersive experiences through gamification and simulations, making learning both enjoyable and impactful.

The integration of AI in Educational Apps is not just a trend — it’s a crucial advancement that addresses the diverse needs of learners and educators alike. By embracing these innovations, we can make education more Accessible, engaging, and effective.

Building Your Own Business App If you’re looking to develop your own business app, partnering with a leading app development company in India is a smart choice. In particular, app development company in mohali and Chandigarh offer a talented pool of professionals skilled in creating custom, high-quality apps tailored to your business needs. By leveraging their expertise, you can elevate your business with a bespoke app. A Mohali-based development company can provide the local knowledge and personalised attention needed to turn your vision into reality. NetscapeLabs Infotech Pvt. Ltd. is an excellent option for anyone seeking top-tier app development services.

[mariacallous]

As media companies haggle licensing deals with artificial intelligence powerhouses like OpenAI that are hungry for training data, they’re also throwing up a digital blockade. New data shows that over 88 percent of top-ranked news outlets in the US now block web crawlers used by artificial intelligence companies to collect training data for chatbots and other AI projects. One sector of the news business is a glaring outlier, though: Right-wing media lags far behind their liberal counterparts when it comes to bot-blocking.

Data collected in mid-January on 44 top news sites by Ontario-based AI detection startup Originality AI shows that almost all of them block AI web crawlers, including newspapers like The New York Times, The Washington Post, and The Guardian, general-interest magazines like The Atlantic, and special-interest sites like Bleacher Report. OpenAI’s GPTBot is the most widely-blocked crawler. But none of the top right-wing news outlets surveyed, including Fox News, the Daily Caller, and Breitbart, block any of the most prominent AI web scrapers, which also include Google’s AI data collection bot. Pundit Bari Weiss’ new website The Free Press also does not block AI scraping bots.

Most of the right-wing sites didn’t respond to requests for comment on their AI crawler strategy, but researchers contacted by WIRED had a few different guesses to explain the discrepancy. The most intriguing: Could this be a strategy to combat perceived political bias? “AI models reflect the biases of their training data,” says Originality AI founder and CEO Jon Gillham. “If the entire left-leaning side is blocking, you could say, come on over here and eat up all of our right-leaning content.”

Originality tallied which sites block GPTbot and other AI scrapers by surveying the robots.txt files that websites use to inform automated web crawlers which pages they are welcome to visit or barred from. The startup used Internet Archive data to establish when each website started blocking AI crawlers; many did so soon after OpenAI announced its crawler would respect robots.txt flags in August 2023. Originality’s initial analysis focused on the top news sites in the US, according to estimated web traffic. Only one of those sites had a significantly right-wing perspective, so Originality also looked at nine of the most well-known right-leaning outlets. Out of the nine right-wing sites, none were blocking GPTBot.

Bot Biases

Conservative leaders in the US (and also Elon Musk) have expressed concern that ChatGPT and other leading AI tools exhibit liberal or left-leaning political biases. At a recent hearing on AI, Senator Marsha Blackburn recited an AI-generated poem praising President Biden as evidence, claiming that generating a similar ode to Trump was impossible with ChatGPT. Right-leaning outlets might see their ideological foes’ decisions to block AI web crawlers as a unique opportunity to redress the balance.

David Rozado, a data scientist based in New Zealand who developed an AI model called RightWingGPT to explore bias he perceived in ChatGPT, says that’s a plausible-sounding strategy. “From a technical point of view, yes, a media company allowing its content to be included in AI training data should have some impact on the model parameters,” he says.

However, Jeremy Baum, an AI ethics researcher at UCLA, says he’s skeptical that right-wing sites declining to block AI scraping would have a measurable effect on the outputs of finished AI systems such as chatbots. That’s in part because of the sheer volume of older material AI companies have already collected from mainstream news outlets before they started blocking AI crawlers, and also because AI companies tend to hire liberal-leaning employees.

“A process called reinforcement learning from human feedback is used right now in every state-of-the-art model,” to fine-tune its responses, Baum says. Most AI companies aim to create systems that appear neutral. If the humans steering the AI see an uptick of right-wing content but judge it to be unsafe or wrong, they could undo any attempt to feed the machine a certain perspective.

OpenAI spokesperson Kayla Wood says that in pursuit of AI models that “deeply represent all cultures, industries, ideologies, and languages” the company uses broad collections of training data. “Any one sector—including news—and any single news site is a tiny slice of the overall training data, and does not have a measurable effect on the model’s intended learning and output,” she says.

Rights Fights

The disconnect in which news sites block AI crawlers could also reflect an ideological divide on copyright. The New York Times is currently suing OpenAI for copyright infringement, arguing that the AI upstart’s data collection is illegal. Other leaders in mainstream media also view this scraping as theft. Condé Nast CEO Roger Lynch recently said at a Senate hearing that many AI tools have been built with “stolen goods.” (WIRED is owned by Condé Nast.) Right-wing media bosses have been largely absent from the debate. Perhaps they quietly allow data scraping because they endorse the argument that data scraping to build AI tools is protected by the fair use doctrine?

For a couple of the nine right-wing outlets contacted by WIRED to ask why they permitted AI scrapers, their responses pointed to a different, less ideological reason. The Washington Examiner did not respond to questions about its intentions but began blocking OpenAI’s GPTBot within 48 hours of WIRED’s request, suggesting that it may not have previously known about or prioritized the option to block web crawlers.

Meanwhile, the Daily Caller admitted that its permissiveness toward AI crawlers had been a simple mistake. “We do not endorse bots stealing our property. This must have been an oversight, but it's being fixed now,” says Daily Caller cofounder and publisher Neil Patel.

Right-wing media is influential, and notably savvy at leveraging social media platforms like Facebook to share articles. But outlets like the Washington Examiner and the Daily Caller are small and lean compared to establishment media behemoths like The New York Times, which have extensive technical teams.

Data journalist Ben Welsh keeps a running tally of news websites blocking AI crawlers from OpenAI, Google, and the nonprofit Common Crawl project whose data is widely used in AI. His results found that approximately 53 percent of the 1,156 media publishers surveyed block one of those three bots. His sample size is much larger than Originality AI’s and includes smaller and less popular news sites, suggesting outlets with larger staffs and higher traffic are more likely to block AI bots, perhaps because of better resourcing or technical knowledge.

At least one right-leaning news site is considering how it might leverage the way its mainstream competitors are trying to stonewall AI projects to counter perceived political biases. “Our legal terms prohibit scraping, and we are exploring new tools to protect our IP. That said, we are also exploring ways to help ensure AI doesn’t end up with all of the same biases as the establishment press,” Daily Wire spokesperson Jen Smith says. As of today, GPTBot and other AI bots were still free to scrape content from the Daily Wire.

[hoichoi29]

The Synergy of Digital Marketing and AI: Transforming the Future

Digital marketing has become the backbone of modern business strategies, enabling brands to reach global audiences with precision and efficiency. As this field evolves, Artificial Intelligence (AI) has emerged as a game-changer, revolutionizing how companies engage with customers, analyze data, and optimize their campaigns. The integration of AI in digital marketing is not just a trend; it’s a transformative force reshaping the industry.

Personalization at Scale

One of the most significant contributions of AI to digital marketing is the ability to deliver personalized experiences at scale. Traditional marketing approaches relied heavily on broad segmentation, often leading to generic messaging. AI, however, enables hyper-personalization by analyzing vast amounts of data, including browsing history, purchase behavior, and social media activity. This data allows marketers to create tailored content and product recommendations that resonate with individual consumers, enhancing engagement and boosting conversion rates.

For instance, AI-powered recommendation engines, like those used by Amazon and Netflix, analyze user behavior in real-time to suggest products or content that match the user’s preferences. This level of personalization was unimaginable just a few years ago, but today, it’s a key driver of customer satisfaction and loyalty.

Enhanced Data Analysis and Decision-Making

AI has also revolutionized how marketers approach data analysis. In the past, analyzing large datasets was time-consuming and prone to human error. AI algorithms, however, can process and interpret data at unprecedented speeds, identifying patterns and insights that might be missed by human analysts. This capability allows marketers to make data-driven decisions with greater accuracy, optimizing their strategies for maximum impact.

For example, AI can analyze the performance of a digital marketing campaign in real-time, adjusting targeting and messaging based on the results. This agility not only improves the effectiveness of campaigns but also reduces costs by minimizing wasteful spending on ineffective tactics.

Automating Routine Tasks

Automation is another area where AI is making a significant impact. Tasks such as content creation, social media posting, and email marketing can be automated using AI tools. These tools can generate content, schedule posts, and even respond to customer inquiries with minimal human intervention. This frees up marketers to focus on more strategic activities, such as creative development and campaign planning.

Conclusion

The integration of AI in digital marketing is revolutionizing the industry, enabling unprecedented levels of personalization, efficiency, and effectiveness. As AI continues to advance, its role in digital marketing will only grow, offering new opportunities for brands to connect with their audiences in meaningful ways. Embracing this technology is no longer optional; it’s essential for staying competitive in today’s fast-paced digital landscape.

[jcmarchi]

OpenAI co-founder's Safe Superintelligence Inc secures $1B

New Post has been published on https://thedigitalinsider.com/openai-co-founders-safe-superintelligence-inc-secures-1b/

OpenAI co-founder's Safe Superintelligence Inc secures $1B

.pp-multiple-authors-boxes-wrapper display:none; img width:100%;

Just three months after its inception, Safe Superintelligence (SSI), a new AI startup founded by OpenAI co-founder Ilya Sutskever, has raised $1 billion in funding. Led by venture capital firms Sequoia and Andreessen Horowitz, the latest investment round values the company at approximately $5 billion, according to a Financial Times report.

Sutskever, who left OpenAI in May this year following a failed attempt to oust CEO Sam Altman, established SSI to develop ‘safe’ AI models. The company’s mission is to create AI systems that are both highly capable and aligned with human interests.

‘We’ve identified a new mountain to climb that is slightly different from what I was working on previously. We’re not trying to go down the same path faster. If you do something different, it becomes possible for you to do something special, Sutskever told the Financial Times.

The substantial funding will be used to acquire computing resources necessary for AI model development and to expand SSI’s current team of 10 employees. The company actively recruits and offers positions in Palo Alto, California, and Tel Aviv, Israel.

With its focus on safety and alignment, SSI’s approach differs from that of other AI companies. Take firms like OpenAI, Anthropic, and Elon Musk’s xAI, which are all developing AI models for various consumer and business applications. SSI, on the other hand, is focusing solely on creating what it calls a ‘straight shot to safe superintelligence’.

Daniel Gross, SSI’s chief executive, emphasised the importance of this focused approach in a statement to Reuters: “It’s important for us to be surrounded by investors who understand, respect and support our mission, which is to make a straight shot to safe superintelligence and in particular to spend a couple of years doing R&D on our product before bringing it to market.”

It is also interesting to point out that despite not having a product yet, the company’s significant valuation and funding highlight the intense interest and investment in safe AI research. This is amid growing concerns about the potential risks associated with increasingly powerful AI systems.

Even Sutskever’s departure from OpenAI was reportedly due to disagreements over the company’s direction and the pace of AI development. At OpenAI, he led the ‘alignment’ team, which focused on ensuring that advanced AI systems would act in humanity’s best interests.

What is clear, however, is that the formation of SSI and its rapid funding success reflect a broader trend in the AI industry towards addressing safety concerns alongside capability advancements. This approach aligns with calls from AI researchers and ethicists for more responsible development of artificial intelligence.

Today, SSI joins a competitive field of well-funded AI companies. OpenAI is reportedly in talks to raise funds at a valuation exceeding $100 billion, while Anthropic and xAI were recently valued at around $20 billion.

However, the crowded market did not dim SSI’s unique focus on safety or its high-profile founding team, both of which have clearly resonated with investors. 

“We are assembling a lean, cracked team of the world’s best engineers and researchers dedicated to focusing on SSI and nothing else. We offer an opportunity to do your life’s work and help solve our age’s most important technical challenge,” the company’s website states.

For now, the company’s progress will be closely watched by both the tech industry and those concerned with the ethical implications of AI development.

See also: OpenAI hit by leadership exodus as three key figures depart

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

Tags: ai, artificial intelligence, ethics

[technon899]

artificial intelligence| ai development companies| ai in business| ai for business automation| ai development| artificial intelligence ai| ai technology| ai companies| ai developers| ai intelligence| generative ai| ai software development| top ai companies| ai ops| ai software companies| companies that work on ai| artificial intelligence service providers in india| artificial intelligence companies| customer service ai| ai model| leading ai companies| ai in customer support| ai solutions for small business| ai for business book| basic knowledge for artificial intelligence| matching in artificial intelligence|

[marketmagnatize]

Top 10 Business Ideas That Will Make You Rich

In today's fast-paced and ever-evolving world, entrepreneurship offers countless opportunities to build wealth. Whether you're a seasoned entrepreneur or a budding innovator, exploring the right business idea can lead to significant financial success. Here are ten business ideas that have the potential to make you rich.

1. E-commerce Store

E-commerce continues to thrive, with online shopping becoming the norm for consumers. Launching an e-commerce store that caters to a niche market can be incredibly profitable. By offering unique, high-quality products, and leveraging digital marketing strategies, you can reach a global audience. Subscription boxes, eco-friendly products, or personalized items are examples of niches with high demand.

2. Digital Marketing Agency

As businesses shift towards online operations, the demand for digital marketing services has skyrocketed. Starting a digital marketing agency that specializes in SEO, social media management, content marketing, or pay-per-click advertising can be highly lucrative. Success in this field requires staying updated with the latest trends and delivering measurable results to clients.

3. App Development

The mobile app industry is booming, with millions of apps available on various platforms. If you have a background in coding or can collaborate with skilled developers, creating innovative apps can lead to substantial profits. Whether it's a gaming app, a productivity tool, or a social networking platform, a successful app can generate revenue through in-app purchases, ads, or subscriptions.

4. Real Estate Investment

Real estate has long been a proven way to build wealth. Investing in rental properties, flipping houses, or even starting a real estate development company can yield high returns. The key is to research markets thoroughly, understand property values, and manage your investments wisely. In addition to traditional real estate, consider emerging trends like vacation rentals and co-living spaces.

5. Health and Wellness Products

The health and wellness industry is experiencing rapid growth, driven by an increased focus on healthy living. Starting a business that offers health supplements, organic foods, fitness equipment, or wellness coaching can be very profitable. Consumers are willing to invest in products and services that promote a healthier lifestyle, making this sector a promising area for entrepreneurs.

6. Online Education and E-learning

The rise of remote work and online learning has created a massive demand for e-learning platforms and online courses. If you have expertise in a particular field, you can create and sell online courses, or develop a platform that connects educators with learners. This business model offers scalability and the potential for passive income, as courses can be sold repeatedly without additional production costs.

7. Renewable Energy Solutions

With the global push towards sustainability, businesses in the renewable energy sector are thriving. Starting a company that offers solar panel installation, energy-efficient appliances, or green building materials can be highly profitable. Governments and consumers are increasingly seeking eco-friendly solutions, making this an ideal time to enter the market.

8. Freelance Services Platform

The gig economy is expanding rapidly, with more people seeking freelance opportunities. Creating a platform that connects freelancers with clients in fields like graphic design, writing, programming, or virtual assistance can be a successful business venture. By charging a commission on transactions, you can build a profitable business while providing a valuable service.

9. Artificial Intelligence and Automation

AI and automation are transforming industries across the board. Starting a business that offers AI-driven solutions, such as chatbots, predictive analytics, or robotic process automation (RPA), can lead to significant wealth. Companies are eager to adopt AI technologies to streamline operations, reduce costs, and improve customer experiences, making this a high-demand area.

10. Subscription Box Service

Subscription box services have gained immense popularity, offering consumers curated products delivered to their doorsteps regularly. From beauty products to gourmet foods, subscription boxes cater to a wide range of interests. Starting a subscription box business allows for recurring revenue and customer loyalty, provided you offer unique and valuable products.

For more such content visit on Tanishq website .

Conclusion

These ten business ideas represent some of the most promising opportunities for building wealth in today's economy. While each requires a different level of expertise, investment, and commitment, the potential rewards are substantial. Success in any of these ventures will depend on thorough market research, innovative thinking, and relentless execution. By choosing the right idea and dedicating yourself to its growth, you can achieve significant financial success and long-term wealth. Click here to open other post.

[vedangkadia]

How AI is changing Digital Marketing What is Digital Marketing?

Digital marketing is defined as a process of selling goods and services via digital media which includes Social media, Emails, search engines, and websites. Such a method is useful in that it expands the scope of business reach and provides interaction with the target audience impossible in marketing. Some of the digital marketing techniques are content marketing, search engine optimization, influencer marketing, and web advertising. Through these channels, businesses can define the intended audience to cascade the campaigns, monitor the impact of the campaigns, and make real-time adjustments. This means that the marketing activities being carried out are more productive and result-oriented hence creating more business out of the whole marketing exercise.

What is AI?

AI stands for artificial intelligence and is considerably described as the ability of machines to imitate one or all aspects of human intelligence. AI is also described in broader terms which associates it with machine learning and natural language processing, robotics, and other disciplines. These technologies allow an AI system to have the ability to identify speech, decide, and translate between languages. For digital marketing, AI facilitates the analysis of large data sets, automation and, providing the right messages to the right customers. This in turn improves the existing marketing plan and possibilities to narrow down the focus and interact with clients.

How AI is Changing Digital Marketing:

AI is now disrupting the digital marketing field due to the methods it offers that help refine the data gathering and handling approaches, customer targeting, and campaign customization processes. AI algorithms are capable of processing huge amounts of information and making analysis concerning consumer behavior faster as compared to human beings; marketers can use the results of such analysis to develop finer and better campaigns. Besides, others like email marketing, commercial posting, etc., can also be automated by AI leaving the marketers with only the key tasks to deal with and think of. Consequently, commercial organizations reach better Returns on Investment, and customers tend to develop friendly relations with businesses.

Myth or Truth - Is AI Transforming the Digital Marketing Industry?

The matter of fact is still open, whether AI is just a fancy word utilized in discourse connected with digital marketing or a driving force that evolves this field. Nevertheless, numerous examples and cases show that the role of AI in modern industry is exceptionally important. It has been noted that companies applying AI have seen a relative enhancement in customer interaction, leads, and sales. Leverage in customer care; services such as chatbots and other analytical tools that incorporate the use of Artificial intelligence are becoming core assets to the marketing strategies of companies. Although there are barriers that can be encountered in the adoption of AI, the advantages of the technology are considerably faster in comparison to the liabilities, which makes AI a significant resource for the modern marketer.

Why Use AI?

Thus, AI provides many benefits in the context of digital marketing. Some of the tasks it can effectively accomplish include data entry, marketing through emails, and social media among others since it cuts across many people and may contain many errors. AI also enables the marketers to know the customers better hence, enhancing the chances of the marketers to develop unique content and campaigns. This leads to an increase in the level of customer satisfaction and thereby customers’ loyalty. In the same way, AI may also facilitate the utilization of advertising budget on the most convertible leads, and hence, bigger conversion ratios, paving the way to enhanced ad spend potentiality. Altogether, the application of AI is beneficial to companies as it enhances their marketing goals’ accomplishment.

What are the Pros and Cons of AI in Marketing?

Pros:

1) Improved A/B Testing:

AI can perform A/B tests rather quickly and this would not be possible if it was done entirely by the human resource. It enables the marketer to know which content is more effective and which strategy yields the best results. AI can also narrow down the results and provide real-time analysis of the tests that a person undertakes. Improved A/B testing leads to a better understanding of what resonates with the audience and higher conversion rates.

2) Targeted Lead Generation and Client Segmentation:

AI is used to draw insights to identify leads and categorize clients according to their actions and choices. It also makes it possible for marketing communication to be focused on the prospects that are most likely to produce good results. AI can determine which of the leads are most likely to turn into buyers and therefore give them priority. This is a very important approach in marketing because it makes businesses address the right audience hence boosting their chances of success and return on investment.

3) Content Creation Written by AI:

AI can write blog posts, social media updates, product descriptions, or any kind of textual content. These tools employ artificial intelligence and specifically natural language processing to produce quality content that will appeal to the target audience. This assists marketers in having a proper and continuous flow of content and hence managing the workload. Despite the occasional need for human intervention in training the AI, it can help in the generation of content quite swiftly and provide a continuous stream of new content.

4) Timely Messaging:

AI ensures that marketing messages are delivered at the correct time to capture the attention of the audience it is intended for. It identifies the frequency of operation and timing to approach the users. This in turn increases the chances of the messages being opened and answered by the recipients. Mailing should be done at the appropriate time so that the customers can show interest in the products and make purchases. And since users are mostly likely to be active at those times, businesses have a better shot at achieving higher marketing outcomes.

5) Self-Learning:

AI systems can remember previous conversations and even experience learning regarding interactions with customers. This makes them more potent as time progresses. For example, AI can learn from the kind of feedback it has been receiving or the level of users’ engagement. This self-learning capacity means that AI tools will not only stay current in an ever-evolving digital environment but will also adapt their operation for optimum efficiency. AI systems will continue to improve over the next five years and will become more effective at understanding the customers’ needs and fulfilling them.

Cons:

1) High implementation costs:

Consideration of AI in marketing often implies considerable costs such as acquisitions of hardware and software and training of employees. As is explained, it could be challenging to establish the initial expenditures for the technology, especially for small businesses; thus, the competition with large organizations may be tough. The financial cost of AI technology can be a significant obstacle to entry, particularly for startups and small businesses.

2) Requires technical expertise:

This presents a challenge for some businesses because marketers themselves require or should possess the skills to effectively use these tools. This frequently requires recruiting specialists or providing additional training to in-house workers, which can be both time-consuming and expensive. Furthermore, AI technology is constantly developing and changing, so it is crucial to educate oneself constantly and adapt to new information and programs.

3) Potential loss of jobs:

In the future, as AI continues to absorb more activities, there is potential for jobs with repetitive work to become obsolete. This can even lead to job insecurity and make it necessary for the company to look for methods of repurposing the involved employees. The change might be dramatic for both the employee and employer since it causes drastic alternation of the employees’ positions.

4) Data privacy concerns:

AI applied in marketing means that large amounts of data are being gathered and analyzed, thus there may be privacy concerns. Since data is managed within businesses, care should be taken to respect the laws on data protection and also retain the trust of consumers. Not doing so may incur legal consequences and affect the brand image negatively in the process.

5) Dependence on technology:

One disadvantage of relying on AI functionalities is that these systems are prone to technical glitches and breakdowns. Marketing can also be inhibited when AI systems fail or are not maintained appropriately, which will further affect the performance of the business. Also, reliance on these technologies may limit human supervision and analytical capabilities in the decision-making processes.

Will AI Replace Digital Marketers?

AI is not a threat to digital marketers but rather will change the nature of the work that digital marketers do. Marketers will also require more strategy, imagination, and certainly, a clear understanding of AI technologies. AI will manage and analyze data and automate tasks so that marketers will be in a better position to make wise decisions. This shift will also entail the marketers to change course learn new skills and adapt to the new technologies. Thus, although AI can be very useful in marketing initiatives, creativity, and strategy will never be fully delegatable to AI systems. With digital marketers and AI in place, there will be even better and enhanced marketing techniques in the future.

What’s the Future of AI in Digital Marketing?

Based on the various scenarios that have been presented AI has a bright future in digital marketing and its future will not only be shaped by the existing technologies but also the future advancements that will provide a better way of doing the existing. Leveraging the power of AI will open up opportunities to greatly enhance the quality of the insights generated about customers and provide unprecedented predictive modeling based on real-time information.

Consumers will benefit also because marketers will be able to direct-read their audiences and, therefore, provide them with highly personalized content. Moreover, the use of AI in these marketing strategies will display an extended effectiveness with increased risk. The application of AI is bound to become more integrated into digital marketing as it becomes more advanced and this can be seen as a key factor that cannot be overlooked by business establishments that want to compete effectively in today’s diverse market.

What are the Different Types of AI?

1) Machine Learning:

When it comes to artificial intelligence, machine learning is a component that enables systems to learn with experience and demonstrate scaling. It involves the use of various models that are incorporated into a computer to assess a given element, discover a given pattern, or else project a given trend. In digital marketing, machine learning has particular uses in customer segmenting, predictive analysis, and recommendation systems. This is especially advantageous in marketing because machine learning enables the system to constantly learn from data and adapt the model to be more accurate with subsequent cycles.

2) AI Assistants & Chatbots:

AI helps through its customer support tool: AI assistants and/or chatbots respond to clients within the shortest time possible and the responses can handle all the questions that may be presented at one time. They employ natural language processing to parse customer inquiries and allow representatives to respond. These tools assist businesses in penetrating the market and responding to customer inquiries and complaints faster. For instance, customers can engage with chatbots to help in making suggestions, knowing the status of their orders, and the handling of complaints. It also improves the quality of the overall customer service experience and enables human agents to tackle specific and detailed jobs.

3) Voice Search:

Voice search is a type of search engine that is spoken to by the users to get the required results. Computing gadgets, including smart home appliances such as speak-to-me devices such as Siri, Alexa, Google Assistant, etc are also frequently initiated. Therefore, marketers should balance how their content will be processed by the voice search to increase its visibility. They include the application of natural language, response to frequently asked questions, and sharing of pertinent information. Leveraging it shall be an added advantage for businesses as consumers continue to shift towards voice search engine results.

4) Marketing Automation & Personalization:

AI makes marketing functions an automated process where it can control tasks like email to customers, social media posts, and advertising. It also does that rather in line with the personal characteristics of the users of the software application. This makes sure that the marketing message that is to be relayed whether through the printed media or any other medium is appealing to the interests and the relevance of the consumers. For instance, the subject lines of promotional emails sent can be personalized, product suggestions based on the user’s past actions, or even the advertisement location can be tweaked. This level of personalization also decreases the possibility of one making the wrong decisions since it will always result in conversion and improved customer satisfaction.

The Future of Digital Marketing is Here:

AI which was long associated with a future technology is already part of digital marketing today. AI can also be used to improve the results of marketing plans and strategies by firms. AI tools or solutions enhance data productivity, specialized content development, and self-service customers. The above tools help marketers to provide high user engagement and create more meaningful interactions with the audiences. Thus, AI remains an ever-evolving feature of the digital marketing field which, as the technology develops, will remain an inseparable part of modern marketing.

Conclusion:

AI as a tool is the future of digital marketing benefiting it in various ways like better user experience, better segmentation, and customer analytics.  It is therefore clear that even with the implementation of AI the job of digital marketers will be shifted and not eliminated. This means that marketers are to concentrate on strategy and creativity in marketing while on the other hand, AI covers the analytical workload and automation of routine tasks. This paper aims to address how there is a need for firms to adopt the technology of AI to remain relevant and provide effective marketing communication. Digital marketing with the help of AI is not just another hype that can be a part of the trend, it is a massive change that has come to stay. Any business that will accept this great change will be in a vantage position to thrive in the increasingly digital economy.

Let's wrap up with this thought: Let me know your thoughts on this: What do you think about AI in digital marketing? Intrigued by what it can do for your strategy, to change the game and take it to the next level?

[coderower]

The Future of Software Development: Top Trends to Watch in 2024

Introduction:

The field of technology is always changing, but software creation is still at the cutting edge of brand-new ideas. As 2024 approaches, the trends that will shape the future of software development become more apparent. These trends will bring both exciting possibilities and challenges for businesses and workers. This blog post will talk about the most important trends to keep an eye on in 2024, covering everything from cloud-based solutions to custom software creation.

1. Custom Software Development

Custom software development is still an important part of modern businesses because it lets them make solutions that fit their exact needs. In 2024, we expect a huge increase in the need for unique software solutions as companies try to stand out in very competitive markets. Custom software development is the most adaptable and adjustable way to improve customer experiences or streamline internal processes.

2. Software Development Services

People are still looking for software development services because they need help and professionals to make cutting-edge apps. Outsourcing software development has become a smart choice for many companies, from startups to large corporations, that want to cut down on development time and time to market.

3. Mobile App Development

Since smartphones and other mobile devices are becoming more popular, companies that want to connect with customers while they’re on the go still put a lot of emphasis on mobile app development. We think 2024 will be a big year for user-centred design and making new technologies like augmented reality (AR) and artificial intelligence (AI) work well.

4. Developers of Web Applications

Developers of Web applications are moving toward making experiences that are more engaging and flexible. Progressive web apps (PWAs) and single-page apps (SPAs) will likely become popular in 2024 as companies try to make the web faster and more interesting on all devices.

5. Cross-device App Development

Making apps that work on multiple devices without any problems is possible with cross-platform app development, which has become more popular in recent years. By 2024, cross-platform tools like React Native and Flutter should have even better features, allowing developers to reach more people with less work.

6. Full-Stack Development

As of now, workers who are skilled in both front-end and back-end platforms are in high demand for full-stack development. They are seen as versatile and knowledgeable. There will be a greater need for full-stack coders who can offer complete solutions in 2024, so training and upskilling programs will be a big focus.

7. Web Design and Development

Web design and programming are very important for shaping the user experience and getting people to interact with your site. We expect to see a move toward simple and easy-to-use designs in 2024, with an emphasis on making things accessible and open to everyone. The digital world will also continue to change as new design trends like dark mode and neomorphism become more popular.

8. Cloud-Based Solutions

Modern infrastructure is built around cloud-based solutions, which are scalable, reliable, and cost-effective. We think that there will be even more movement toward cloud-native designs in 2024, with a focus on serverless computing and containerization. Multi-cloud and mixed-cloud methods are also becoming more popular, which will give companies more freedom and stability.

9. Continuous Integration and Continuous Deployment (CI/CD)

Continuous Integration and Continuous Deployment (CI/CD) techniques have changed the way software is developed by making it possible for teams to make code changes quickly and accurately. We expect a lot of people to use CI/CD processes in 2024, with a focus on automation, teamwork, and feedback loops. Employing CI/CD in their work processes can help companies release software more quickly and with higher quality.

10. Software testing and product testing

Software testing is still an important part of the development process because it makes sure that apps work as planned and meet quality standards. Automated testing systems and AI-driven testing tools will become more popular in 2024, making it easier for coders to find problems and fix them. For the whole development process, using shift-left testing methods will also help build a mindset of quality.

11. Custom Web App Development

When businesses hire custom web app developers, they want solutions that are made just for them and the problems and chances in their fields. Custom web apps are flexible, safe, and quick, and they can be used to make management systems inside the company or sites for customers. It’s going to be very popular to have custom web apps made in 2024 because companies will want to stay ahead of the competition and focus on digital change projects.

12. Web Solutions

Many tools and services can be used to make web experiences that are live and engaging. Web tools, like e-commerce platforms and content management systems, help companies connect with customers, run their businesses, and grow. Developer tools, content management systems, and hosting services are likely to keep getting better in 2024, which will allow businesses to make web apps that are strong and flexible.

13. Develop Mobile Apps

Mobile apps are now essential for companies that want to reach people while they’re on the go and make the user experience better. Native mobile app development will be a big deal in 2024. To make sure users have a smooth and fast experience, developers will use platform-specific features and functions. Additionally, makers will be able to make new, feature-packed mobile apps by combining cutting-edge technologies like machine learning and blockchain.

14. App Development

The process of making apps for different devices, like phones, the web, and computers, is called app development. We expect a coming together of technologies and methods in 2024, which will make it easy for coders to make apps that work on multiple platforms. With the rise of low-code and no-code development platforms, companies can speed up the process of making apps and give regular people the tools they need to help make new solutions.

15. Emerging Technologies

Artificial intelligence (AI), machine learning (ML), bitcoin, and the Internet of Things (IoT) are just a few of the new technologies that will drastically change the way software is made in 2024. These technologies could completely change businesses, make tasks easier to do, and generate new ideas in all areas. AI and ML will be used more for predictive analytics, personalized experiences, and automating regular chores in 2024. Similarly, blockchain technology will keep shaking up old ways of doing business by making deals safe and clear, while IoT devices will make it easier to connect and gain insights from data.

16. Augmented Reality (AR) and Virtual Reality (VR) Development

Augmented reality (AR) and virtual reality (VR) have become powerful tools that could change many fields, from fun and games to education and healthcare. Hardware, software, and content creation tools will get better in 2024, which will lead to a lot of new AR and VR releases. AR and VR will be used more and more by businesses to make events more engaging, improve training programs, and connect with customers in fresh new ways.

17. Integration of Artificial Intelligence (AI) and Machine Learning (ML)

AI and ML are going to be very important in the future of software development, allowing smart automation, predictive analytics, and customized experiences. We expect to see more AI and ML built into software in 2024, as companies use data to make better decisions and run their businesses more efficiently. AI and ML will continue to change how software is made, used, and implemented, from robots and virtual helpers to recommendation engines and systems that look for scams.

18. Quantum Computing

Quantum computing is a big change in the way computers work. It can do processing that has never been seen before and could help solve hard problems that regular computers can’t. Future progress in quantum computing is expected to continue in 2024. This will have effects on software development in areas like security, optimization, and science modelling. Quantum computing isn’t being used by most people yet, but developers and businesses are starting to look into how it could be used and what it means for the future of software development.

19. Edge Computing

The rise of edge computing has made it possible for real-time processing and low-latency apps. Edge computing brings computer power closer to where the data is created. Edge computer technologies are likely to become more popular in 2024, especially in fields like IoT, manufacturing, and self-driving cars. Edge computing is an important part of the future of software development because it processes data closer to where it is created. This means that decisions can be made faster, bandwidth is used less, and dependability is improved.

20. DevOps and DevSecOps Practices

DevOps and DevSecOps practices are becoming more popular in software development because they help teams simplify processes, speed up delivery, and make security better. Further use of DevOps and DevSecOps methods is expected in 2024, due to the need for more cooperation, automation, and flexibility. DevOps and DevSecOps allow teams to create high-quality software faster and more safely by combining development, operations, and security into a single process. This meets the needs of today’s digital world, which is changing quickly.

21. Data Privacy and Security

Businesses and customers both care a lot about data privacy and security. Strong security measures are needed because of rising online risks and laws. Data protection and security will still be important in software development in 2024, with a focus on encryption, identification, and compliance. Developers will be very important in keeping private data safe and defence against new threats. They will do things like secure code, security testing, and vulnerability evaluations.

22. Low-Code and No-Code Development Platforms

Low-code and no-code development platforms have made software creation more accessible to everyone, letting business users and citizen coders make apps without needing to know a lot about coding. As businesses try to speed up their digital transformation efforts and meet the growing demand for custom software solutions, we expect the low-code and no-code market to continue to grow in 2024. Low-code and no-code systems help businesses quickly adapt to changing customer wants and market conditions by hiding complexity and cutting down on development time.

23. Ethics and Responsible AI

As AI and ML become more common, people are becoming more aware of the moral and social effects they can have. We think that ethics and responsible AI will get more attention in software development in 2024. Developers and companies will take more steps to make sure that AI-driven systems are fair, open, and accountable. Researchers will have to think about how their work affects other people and put ethics first throughout the whole development process. This includes methods to reduce bias and ethical AI models and standards.

24. Remote Collaboration and Distributed Teams

The move to working from home has completely changed how teams work together and talk to each other. In software development, distributed teams are now the rule. As companies get used to mixed work models and see the benefits of remote work, we expect them to put more money into tools and platforms for online teamwork in 2024. With tools like virtual whiteboarding, videoconferencing, project management, and version control, online collaboration platforms make it easy for teams to work together even when they are in different places. This encourages creativity, innovation, and efficiency.

25. Diversity and Inclusion in Tech

Inclusion and diversity have become very important issues in the tech industry, as more people realize how important different points of view and experiences are for fostering creativity and innovation. We expect that more will be done in 2024 to support diversity and inclusion in software development. For example, mentoring programs, diversity training, and hiring methods that are open to everyone will be given top priority by companies. Businesses can get the most out of their teams and encourage an atmosphere of innovation and success by making the workplace more fair and open to everyone.

In conclusion:

In 2024, the future of software development will be marked by new ideas, quick changes, and a never-ending quest for perfection. To stay competitive in today’s digital world, businesses and workers need to keep up with the latest trends and changes in everything from new technologies like AI and quantum computing to well-known practices like DevOps and data security. Software engineers can change the future of technology for years to come by being open to change, encouraging teamwork, and putting ethics and fairness first.

[appicsoftwaresteam]

How To Develop A Fintech App In 2024?

FinTech, short for financial technology, represents innovative solutions and products that enhance and streamline financial services. These innovations span online payments, money management, financial planning applications, and insurance services. By leveraging modern technologies, FinTech aims to compete with and often complement traditional financial institutions, improving economic data processing and bolstering customer security through advanced fraud protection mechanisms.

Booming FinTech Market: Key Highlights And Projections

Investment Growth In FinTech

In 2021, FinTech investments surged to $91.5 billion.

This represents nearly double the investment amount compared to 2020.

The significant increase highlights the rapid expansion and investor interest in the global FinTech market.

Projected Growth In Financial Assets Managed By FinTech Companies

By 2028, financial assets managed by FinTech firms are expected to reach $400 billion.

This projection indicates a 15% increase from current levels, showcasing the potential for substantial growth in the sector.

Usage Of Online Banking

About 62.5% of Americans used online banking services in 2022.

This figure is expected to rise as more consumers adopt digital financial services.

Key FinTech Trends In 2024

1. Banking Mobility

The transition from traditional in-person banking to mobile and digital platforms has been significantly accelerated, especially during the COVID-19 pandemic. The necessity for remote banking options has driven a surge in the adoption of smartphone banking apps. Digital banking services have become indispensable, enabling customers to manage their finances without needing to visit physical bank branches. 

According to a report by Statista, the number of digital banking users in the United States alone is expected to reach 217 million by 2025. Many conventional banks are increasingly integrating FinTech solutions to bolster their online service offerings, enhancing user experience and accessibility.

2. Use Of Artificial Intelligence (AI)

AI in Fintech Market size is predicted at USD 44.08 billion in 2024 and will rise at 2.91% to USD 50.87 billion by 2029. AI is at the forefront of the FinTech revolution, providing substantial advancements in financial data analytics, customer service, and personalized financial products. AI-driven applications enable automated data analysis, the creation of personalized dashboards, and the deployment of AI-powered chatbots for customer support. These innovations allow FinTech companies to offer more tailored and efficient services to their users. 

3. Development Of Crypto And Blockchain

The exploration and integration of cryptocurrency and blockchain technologies remain pivotal in the FinTech sector. Blockchain, in particular, is heralded for its potential to revolutionize the industry by enhancing security, transparency, and efficiency in financial transactions. 

The global blockchain market size was valued at $7.4 billion in 2022 and is expected to reach $94 billion by 2027, according to MarketsandMarkets. These technologies are being utilized for improved regulatory compliance, transaction management, and the development of decentralized financial systems.

4. Democratization Of Financial Services

FinTech is playing a crucial role in making financial services more transparent and accessible to a broader audience. This trend is opening up new opportunities for businesses, retail investors, and everyday users. The rise of various digital marketplaces, money management tools, and innovative financing models such as digital assets is a testament to this democratization. 

5. Products For The Self-Employed

The increasing prevalence of remote work has led to a heightened demand for FinTech solutions tailored specifically for self-employed individuals and freelancers. These applications offer a range of features, including tax monitoring, invoicing, financial accounting, risk management, and tools to ensure financial stability. 

According to Intuit, self-employed individuals are expected to make up 43% of the U.S. workforce by 2028, underscoring the growing need for specialized financial products for this demographic. FinTech companies are responding by developing apps and platforms that address the unique financial needs of the self-employed, facilitating smoother and more efficient financial management.

Monetization of FinTech Apps

1. Subscription Model

FinTech apps can utilize a subscription model, which offers users a free trial period followed by a recurring fee for continued access. This model generates revenue based on the number of active subscribers, with options for monthly or annual payments. It ensures a steady income stream as long as users find the service valuable enough to continue their subscription.

2. Financial Transaction Fees

Charging fees for financial transactions, such as virtual card usage, bank transfers, currency conversions, and payments for third-party services, can be highly lucrative. This model capitalizes on the volume of transactions processed through the app, making it a significant revenue generator.

3. Advertising

In-app advertising can provide a consistent revenue stream. Although it may receive criticism, strategically placed banners or video ads can generate substantial income without significantly disrupting the user experience.

Types Of FinTech Apps

1. Digital Banking Apps

Digital banking apps enable users to manage their bank accounts and financial services without visiting a physical branch. These apps offer comprehensive services such as account management, fund transfers, mobile payments, and loan applications, ensuring transparency and 24/7 access.

2. Payment Processing Apps

Payment processing apps act as intermediaries, facilitating transactions between payment service providers and customers. These apps enhance e-commerce by enabling debit and credit card transactions and other online payment methods, supporting small businesses in particular.

To Read More Visit - https://appicsoftwares.com/blog/develop-a-fintech-app/