#power automate solutions

[power-automate]

Contact Power Automate Solutions: RPA Services for Enhanced Productivity (celebaltech.com)

[vbeyound]

How to Use Power Automate to Improve Team Collaboration 

Modern workspaces require tools that make collaboration easy and efficient. This is where Power Automate steps into the spotlight. With its ability to simplify complex tasks and integrate various applications, it stands out as a key player in enhancing teamwork. 

Power Automate allows teams to automate routine tasks, from data collection to complex approval workflows. This automation means less time spent on mundane tasks and more on strategic work. For instance, consider a project where team members need approvals from multiple departments. Instead of manually sending emails and waiting for responses, Power Automate can streamline this by setting up automatic email notifications once a task is completed. This not only speeds up the process but also ensures that all stakeholders are instantly updated. 

Another significant advantage is the reduction of errors. When tasks are automated, the risk of human error is minimized. Whether it’s data entry or report generation, Power Automate ensures that the output is consistent and accurate, boosting the team's overall efficiency. 

Collaboration is further enhanced by integrating tools like Microsoft Teams with Power Automate. Teams can set up bots to receive updates directly in their communication channels. This integration means that regardless of their physical location, all team members have real-time access to project updates, fostering a sense of unity and cooperation. 

Power Automate solutions also adapt to various business needs, making it a flexible option for different industries. Whether it’s healthcare, finance, or retail, teams can customize workflows to meet their specific requirements. This customization capability allows teams to focus on what’s important for their specific sector, ensuring that their efforts are directed towards impactful tasks. 

For those worried about the learning curve, Power Automate offers an intuitive interface that is user-friendly. Team members can easily create and modify workflows with minimal technical expertise, making it accessible to everyone in the organization. 

Moreover, VBeyond Digital is a leader in providing cutting-edge digital solutions that complement tools like Power Automate. With their expertise, businesses can optimize their use of digital technologies to achieve higher productivity and better results. VBeyond Digital’s approach focuses on understanding unique business needs and implementing solutions that are practical and effective. 

In conclusion, Power Automate is a powerful tool for any team aiming to improve collaboration. By automating tasks, integrating with other tools, and reducing errors, it helps teams work smarter. Furthermore, with support from companies like VBeyond Digital, implementing Power Automate can transform the way teams operate, making collaboration not just a goal, but a daily reality. So, if you're looking to enhance team efficiency and streamline processes, consider integrating Power Automate into your workflow. 

[digitaldeeptech]

Must-Have Programmatic SEO Tools for Superior Rankings

Understanding Programmatic SEO

What is programmatic SEO?

Programmatic SEO uses automated tools and scripts to scale SEO efforts. In contrast to traditional SEO, where huge manual efforts were taken, programmatic SEO extracts data and uses automation for content development, on-page SEO element optimization, and large-scale link building. This is especially effective on large websites with thousands of pages, like e-commerce platforms, travel sites, and news portals.

The Power of SEO Automation

The automation within SEO tends to consume less time, with large content levels needing optimization. Using programmatic tools, therefore, makes it easier to analyze vast volumes of data, identify opportunities, and even make changes within the least period of time available. This thus keeps you ahead in the competitive SEO game and helps drive more organic traffic to your site.

Top Programmatic SEO Tools

1. Screaming Frog SEO Spider

The Screaming Frog is a multipurpose tool that crawls websites to identify SEO issues. Amongst the things it does are everything, from broken links to duplication of content and missing metadata to other on-page SEO problems within your website. Screaming Frog shortens a procedure from thousands of hours of manual work to hours of automated work.

Example: It helped an e-commerce giant fix over 10,000 broken links and increase their organic traffic by as much as 20%.

2. Ahrefs

Ahrefs is an all-in-one SEO tool that helps you understand your website performance, backlinks, and keyword research. The site audit shows technical SEO issues, whereas its keyword research and content explorer tools help one locate new content opportunities.

Example: A travel blog that used Ahrefs for sniffing out high-potential keywords and updating its existing content for those keywords grew search visibility by 30%.

3. SEMrush

SEMrush is the next well-known, full-featured SEO tool with a lot of features related to keyword research, site audit, backlink analysis, and competitor analysis. Its position tracking and content optimization tools are very helpful in programmatic SEO.

Example: A news portal leveraged SEMrush to analyze competitor strategies, thus improving their content and hoisting themselves to the first page of rankings significantly.

4. Google Data Studio

Google Data Studio allows users to build interactive dashboards from a professional and visualized perspective regarding SEO data. It is possible to integrate data from different sources like Google Analytics, Google Search Console, and third-party tools while tracking SEO performance in real-time.

Example: Google Data Studio helped a retailer stay up-to-date on all of their SEO KPIs to drive data-driven decisions that led to a 25% organic traffic improvement.

5. Python

Python, in general, is a very powerful programming language with the ability to program almost all SEO work. You can write a script in Python to scrape data, analyze huge datasets, automate content optimization, and much more.

Example: A marketing agency used Python for thousands of product meta-description automations. This saved the manual time of resources and improved search rank.

The How for Programmatic SEO

Step 1: In-Depth Site Analysis

Before diving into programmatic SEO, one has to conduct a full site audit. Such technical SEO issues, together with on-page optimization gaps and opportunities to earn backlinks, can be found with tools like Screaming Frog, Ahrefs, and SEMrush.

Step 2: Identify High-Impact Opportunities

Use the data collected to figure out the biggest bang-for-buck opportunities. Look at those pages with the potential for quite a high volume of traffic, but which are underperforming regarding the keywords focused on and content gaps that can be filled with new or updated content.

Step 3: Content Automation

This is one of the most vital parts of programmatic SEO. Scripts and tools such as the ones programmed in Python for the generation of content come quite in handy for producing significant, plentiful, and high-quality content in a short amount of time. Ensure no duplication of content, relevance, and optimization for all your target keywords.

Example: An e-commerce website generated unique product descriptions for thousands of its products with a Python script, gaining 15% more organic traffic.

Step 4: Optimize on-page elements

Tools like Screaming Frog and Ahrefs can also be leveraged to find loopholes for optimizing the on-page SEO elements. This includes meta titles, meta descriptions, headings, or even adding alt text for images. Make these changes in as effective a manner as possible.

Step 5: Build High-Quality Backlinks

Link building is one of the most vital components of SEO. Tools to be used in this regard include Ahrefs and SEMrush, which help identify opportunities for backlinks and automate outreach campaigns. Begin to acquire high-quality links from authoritative websites.

Example: A SaaS company automated its link-building outreach using SEMrush, landed some wonderful backlinks from industry-leading blogs, and considerably improved its domain authority. ### Step 6: Monitor and Analyze Performance

Regularly track your SEO performance on Google Data Studio. Analyze your data concerning your programmatic efforts and make data-driven decisions on the refinement of your strategy.

See Programmatic SEO in Action

50% Win in Organic Traffic for an E-Commerce Site

Remarkably, an e-commerce electronics website was undergoing an exercise in setting up programmatic SEO for its product pages with Python scripting to enable unique meta descriptions while fixing technical issues with the help of Screaming Frog. Within just six months, the experience had already driven a 50% rise in organic traffic.

A Travel Blog Boosts Search Visibility by 40%

Ahrefs and SEMrush were used to recognize high-potential keywords and optimize the content on their travel blog. By automating updates in content and link-building activities, it was able to set itself up to achieve 40% increased search visibility and more organic visitors.

User Engagement Improvement on a News Portal

A news portal had the option to use Google Data Studio to make some real-time dashboards to monitor their performance in SEO. Backed by insights from real-time dashboards, this helped them optimize the content strategy, leading to increased user engagement and organic traffic.

Challenges and Solutions in Programmatic SEO

Ensuring Content Quality

Quality may take a hit in the automated process of creating content. Therefore, ensure that your automated scripts can produce unique, high-quality, and relevant content. Make sure to review and fine-tune the content generation process periodically.

Handling Huge Amounts of Data

Dealing with huge amounts of data can become overwhelming. Use data visualization tools such as Google Data Studio to create dashboards that are interactive, easy to make sense of, and result in effective decision-making.

Keeping Current With Algorithm Changes

Search engine algorithms are always in a state of flux. Keep current on all the recent updates and calibrate your programmatic SEO strategies accordingly. Get ahead of the learning curve by following industry blogs, attending webinars, and taking part in SEO forums.

Future of Programmatic SEO

The future of programmatic SEO seems promising, as developing sectors in artificial intelligence and machine learning are taking this space to new heights. Developing AI-driven tools would allow much more sophisticated automation of tasks, thus making things easier and faster for marketers to optimize sites as well.

There are already AI-driven content creation tools that can make the content to be written highly relevant and engaging at scale, multiplying the potential of programmatic SEO.

Conclusion

Programmatic SEO is the next step for any digital marketer willing to scale up efforts in the competitive online landscape. The right tools and techniques put you in a position to automate key SEO tasks, thus optimizing your website for more organic traffic. The same goals can be reached more effectively and efficiently if one applies programmatic SEO to an e-commerce site, a travel blog, or even a news portal.

[knoxkiara]

Exploring the Best Robot Vacuum for Pet Hair.

I've recently invested in a Smart Home setup, and I'm excited to share my experience with the SwitchBot brand. After researching various options, I decided to try their robot vacuum, which is often touted as the best robot vacuum for pet hair. I have two furry friends at home, and I was looking for a solution that would help keep my floors clean without too much effort on my part.

After using the SwitchBot vacuum for a few weeks, I am thrilled with the results! It efficiently picks up pet hair, dander, and dirt, leaving my floors spotless. I love that I can schedule cleaning times through the SwitchBot app, which makes it incredibly convenient.

I'm also impressed with its ability to navigate around furniture and avoid obstacles, ensuring that it covers every corner of my home. The suction power is fantastic, and it even has a self-charging feature that means I don't have to worry about it running out of battery.

If you're a pet owner looking for an effective cleaning solution, I highly recommend checking out SwitchBot's robot vacuum. It has truly made my life easier, and I can't imagine going back to manual cleaning. If you have any questions about my experience or the product, feel free to ask!

[lord-radish]

Whenever I'm upset about something and I have to like rant about it to myself to come to terms with how it makes me feel, I have a go-to sentence I use to really hone in on it. Like if something is so irritating or nonsensical or generally anger-inducing that I just have to get it out.

Like I have a coworker who's always talking about what would make the laundry better, talking about these multi-million dollar renovations and things that are *never going to happen* and entirely fail to fix the immediate surface-level issues we're experiencing right now, in the moment, that I'm usually trying to fix while he's talking to me. It really does come off as him going "oh you know what would be so much better for efficiency? if cars ran on rainbows and grass clippings and the tears of happy kittens :)" - he means well, but it fixes NOTHING, it's wishful thinking at BEST

And I swear to god, at least once a week - at LEAST

I have to conjure up the mental fortitude to bite my tongue and keep it to myself

but mentally? I'm winding it up like a punch, before I let out the loudest, angriest call of:

"Coworker, what in the everLOVING NAME OF FUCK ARE YOU TALKING ABOUT?!?!?!?!?!?!??????!!!!??"

[jcmarchi]

How GenAI is Shaping the Future of Business: Key Insights from NTT DATA’s 2025 Report

New Post has been published on https://thedigitalinsider.com/how-genai-is-shaping-the-future-of-business-key-insights-from-ntt-datas-2025-report/

How GenAI is Shaping the Future of Business: Key Insights from NTT DATA’s 2025 Report

NTT DATA’s latest Global GenAI Report, based on an expansive survey of 2,307 executives across 34 countries, provides an in-depth look at how Generative AI (GenAI) is redefining business landscapes in 2025. With respondents spanning 12 industries—including automotive, banking, healthcare, and manufacturing—this report sheds light on the transformative potential and challenges of GenAI as organizations move beyond experimentation to integration. Covering global markets from North America to Asia-Pacific, the findings offer a clear view of GenAI’s impact across strategy, workforce, technology, ethics, and sustainability.

GenAI Sentiment: Hype vs. Reality

A decisive 96% of C-suite executives see GenAI as a revolutionary technology with long-term potential, yet there is some skepticism about immediate ROI. While nearly half of respondents remain cautious about the immediate benefits, 68% express optimism about GenAI’s potential to transform industries. Notably, 97% of organizations are actively planning further investments, underscoring the shift from viewing GenAI as a “nice-to-have” to a critical strategic asset.

Strategic Transformation: Moving from Experimentation to Core Strategy

One of the report’s most notable insights is the shift from fragmented experimentation to intentional, focused GenAI strategies. While 83% of respondents report having a defined GenAI strategy, 49% have yet to align it fully with overall business goals. Key drivers motivating GenAI adoption include:

Productivity Gains: Nearly all CEOs (96%) believe that GenAI will boost productivity.

Improved Compliance: 80% of organizations aim to enhance process adherence and regulatory compliance through GenAI.

Enhanced Customer and Employee Experiences: The top focus areas for GenAI include personalized service, employee support, and improved compliance.

Operational Efficiency: GenAI applications in automation and process improvements are a priority across sectors.

Industry-specific motivations vary, but many share a focus on productivity, compliance, and experience optimization. For instance, automotive companies are prioritizing quality control, risk assessment, and automation, while banking and investment sectors focus on risk management and fraud detection.

Building Dedicated GenAI Teams

Organizations investing in dedicated GenAI teams report significantly higher satisfaction with their AI efforts. Nearly 80% of respondents say they have either established or are building expert GenAI teams. Notably, those with established GenAI teams are three times more likely to express satisfaction compared to those still in planning phases. The government, insurance, and life sciences sectors are leaders in building these expert teams, while education and retail have slower adoption rates. Companies are actively recognizing that expertise in GenAI is crucial for successful, scalable implementations.

Technological Challenges: Infrastructure Gaps and the Need for Cloud Solutions

Technological limitations, especially around legacy systems, present major hurdles. Outdated infrastructure is a notable obstacle, with 90% of respondents indicating that legacy systems are constraining their GenAI potential. Only 45% feel strongly that they currently have the necessary infrastructure to support GenAI. Cloud solutions emerge as the favored approach, with 81% of respondents viewing them as essential for scalable, efficient GenAI applications. CIOs and CTOs are re-evaluating IT architectures, particularly edge and cloud computing, to keep up with the increasing demands of GenAI.

Security and Ethical Concerns: Balancing Innovation with Responsibility

As GenAI grows more integrated into enterprise functions, ethical considerations and security risks are becoming top concerns. Security is a primary worry, with 89% of C-suite executives expressing concern about the security risks associated with GenAI. Only 45% report that their cybersecurity and GenAI strategies are fully aligned, highlighting a gap that companies must address to balance risk and innovation. Leadership accountability is also emerging as a priority, with 82% of respondents emphasizing the need for a named executive responsible for GenAI ethics and governance.

Workforce Impact: Training and Upskilling in the Age of GenAI

A key challenge revealed in the report is a skills gap: two-thirds of organizations acknowledge that employees currently lack the skills to fully leverage GenAI. To address this, over half of the companies surveyed are investing in GenAI-specific training. Notably, organizations investing in employee upskilling have reported substantial improvements in employee satisfaction and retention, with 93% stating that GenAI deployments have positively impacted these metrics.

In terms of specific skill development, 64% of respondents highlight in-house GenAI development skills as a critical need, and top-performing organizations are actively building these competencies. Additionally, tools like predictive analytics, decision management systems, and AI-powered chatbots are among the most commonly planned GenAI solutions aimed at enhancing employee experience.

Sustainability and GenAI: Balancing Environmental Impact with Innovation

While GenAI brings productivity gains, its high resource demands often conflict with sustainability goals. According to the report, three-quarters of respondents believe that their GenAI goals are at odds with sustainability objectives, particularly due to the energy-intensive nature of GenAI operations. Although 94% of respondents support using renewable energy sources for GenAI, 75% acknowledge a misalignment between GenAI and sustainability strategies. This conflict highlights the importance of finding environmentally responsible approaches to GenAI implementation, including energy-efficient data management practices.

Future Outlook: Small Language Models, Multimodal Approaches, and AI Agents

Looking ahead, the report indicates that GenAI’s next phase will involve small language models (SLMs) and multimodal AI approaches to refine decision-making and predictive accuracy. There is a growing interest in “agentics,” a field where AI-driven agents tackle complex problem-solving tasks independently. As the technology matures, organizations are focusing on developing GenAI applications that not only automate but also solve complex problems autonomously.

Key Recommendations for Organizations to Navigate the GenAI Landscape

To succeed with GenAI, NTT DATA recommends that organizations focus on several key areas:

Strategic Alignment: Ensure that GenAI strategies are fully integrated with overall business objectives.

Infrastructure Modernization: Upgrade IT infrastructure to support scalable GenAI applications, particularly through cloud-native solutions.

Workforce Development: Invest in training and upskilling to equip employees with GenAI capabilities.

Ethics and Governance: Establish strong governance frameworks, including a dedicated GenAI ethics executive, to guide responsible AI use.

Sustainability Goals: Align GenAI objectives with sustainability initiatives to ensure environmentally responsible use.

Conclusion

NTT DATA’s 2025 Global GenAI Report offers a comprehensive examination of how GenAI is reshaping industries worldwide. From addressing legacy infrastructure challenges and ethical considerations to closing skills gaps and aligning with sustainability, the findings underscore GenAI’s complex and transformative impact. For organizations looking to leverage GenAI effectively, the focus must remain on integration, governance, and continual assessment of both the opportunities and challenges that this powerful technology presents.

[lavanyachowary]

Power Automate Secrets: Expert Tips for Mastering Desktop Flows

[kapittx]

How to Improve Cash Flow Management in the Construction Industry

Effective cash flow management is essential for the construction industry, where projects are complex, timelines are often long, and payment delays can strain operations. Without a proper cash flow strategy, companies may face financial instability, leading to stalled projects, missed opportunities, and even insolvency. One key to solving this challenge is leveraging AI powered accounts receivable automation to streamline AR processes to reduce DSO and increase cash flow. 

In this blog, we will explore strategies and technologies to improve cash flow management, specifically within the construction industry.

Ten Effective Tips for Companies in the Construction Industry to Reduce DSO and Increase Cash Flow.

1. Understand the Unique Challenges of Construction Cash Flow

The construction industry faces cash flow management challenges. Payment cycles are often longer due to factors like project-based billing, delayed approvals, and complex contract terms. Additionally, construction companies frequently manage multiple projects simultaneously, leading to fluctuating cash inflows and outflows. These delays can result in cash shortages, causing project delays or inability to pay suppliers and subcontractors on time.

Accounts receivable automation for construction companies helps tackle these challenges by providing real-time visibility into payment statuses and upcoming cash flow needs. AI powered accounts receivable can further optimize the process, ensuring better predictability and control over project finances.

2. Leverage Accounts Receivable Automation for Faster Payments

One of the main ways to improve cash flow management is to accelerate the payment process. Traditional, manual methods of managing invoices and payments are prone to delays and errors. To overcome this, accounts receivable automation plays a pivotal role. Automation reduces the time between invoicing and payment collection by streamlining the entire process, from generating invoices to sending automated payment reminders.

Through AI-powered accounts receivable software, construction companies can automate routine tasks such as tracking overdue payments, sending reminders to clients, and automatically updating payment statuses. This not only reduces manual effort but also significantly shortens the time it takes to collect payments, thereby improving cash flow.

3. Implement AI in Accounts Receivable to Reduce DSO

Days Sales Outstanding (DSO) is a critical metric in cash flow management. It measures the average number of days it takes for a company to collect payments after a sale has been made. A high DSO can lead to cash flow shortages, which is detrimental in a capital-intensive industry like construction.

Using AI in accounts receivable can dramatically reduce DSO. AI analyses payment histories and patterns, allowing companies to predict when payments are likely to be delayed and take proactive measures. With AI, construction businesses can prioritize which clients to follow up with and when, improving overall payment collection efficiency.

By reducing DSO through AI, construction companies can unlock cash that would otherwise be tied up in unpaid invoices, ensuring smoother cash flow and less reliance on credit or borrowing.

4. Utilize AI and Machine Learning for Predictive Cash Flow Forecasting

AI’s role in cash flow management extends beyond just automating accounts receivable processes. Through generative AI (Gen AI) in finance and accounting, construction firms can leverage machine learning algorithms to predict future cash flow scenarios.

For example, AI can analyze historical data, including customer payment behaviors, project timelines, and cost trends, to create accurate forecasts. These forecasts allow finance teams to make informed decisions on budget allocation, project bidding, and financial planning. Knowing when cash shortages might occur allows businesses to prepare in advance, ensuring they have the working capital to cover operational costs.

Gen AI in finance and accounting provides construction firms with a strategic edge in managing finances. By anticipating cash flow fluctuations, companies can maintain liquidity and prevent project delays due to financial constraints.

5. Set Clear Payment Terms and Enforce Them

Many construction companies suffer from poor cash flow because they don’t establish clear payment terms or enforce them consistently. A key part of effective cash flow management is setting precise, favorable payment terms in contracts, such as progress billing, retainage releases, and milestone payments.

Once terms are established, accounts receivable automation for construction can ensure that invoices are sent on time, and reminders are automatically triggered. This reduces the likelihood of late payments and encourages clients to adhere to the agreed-upon terms.

By combining clear payment terms with the efficiency of AI in accounts receivable, construction firms can not only improve their DSO but also enhance their overall cash flow stability.

6. Monitor Accounts Receivable Regularly

Keeping a close eye on accounts receivable is vital for improving cash flow. Relying on outdated methods or waiting until month-end to review outstanding invoices can result in significant cash flow gaps. Instead, construction companies should adopt real-time monitoring tools.

Using AI-based receivable automation tools, construction companies can monitor their cash flow daily. These tools offer insights into unpaid invoices, help detect potential cash flow issues early, and enable businesses to take corrective actions before they escalate.

Additionally, real-time monitoring provides insights into clients’ payment behaviors. Identifying clients who consistently pay late allows businesses to negotiate better payment terms or take measures to reduce financial risks.

7. Streamline Dispute Management

Disputes over project deliverables, change orders, or billing discrepancies can cause severe delays in payments. Dispute management is crucial for cash flow, as prolonged disputes may lead to significant DSO increases.

By incorporating AI in accounts receivable automation, construction companies can streamline dispute management. AI systems can automatically flag invoices that may be prone to disputes based on historical data or identify trends that often lead to delays. Resolving these issues early on can prevent further delays and ensure faster payments.

8. Use Automation to Reduce Administrative Costs

Construction firms typically invest a significant amount of time and resources into manually tracking payments, generating invoices, and following up on late payments. This administrative burden can eat into profits, especially when combined with inefficient cash flow management.

Accounts receivable automation not only speeds up payment collection but also reduces administrative overhead. By automating repetitive tasks, construction companies can reallocate human resources toward more strategic tasks, such as analyzing cash flow patterns and improving project execution.

The combination of AI-powered automation and efficient administrative processes directly contributes to better cash flow management by reducing operational costs.

9. Communicate Clearly with Clients

Clear communication is key to reducing payment delays. Construction projects often involve multiple stakeholders, and any miscommunication can cause significant delays in approval processes, billing, or payment releases.

With AI powered accounts receivable automation, communication becomes more streamlined. Automated systems can send out timely reminders, payment confirmations, and follow-up notices. AI can also help customize communications based on client behavior, making it more likely for clients to respond and comply with payment terms.

Moreover, by keeping clients informed about upcoming payments or project milestones, construction companies can reduce the chances of disputes and delays, ensuring a steady cash flow.

10. Leverage Financing Options Based on Improved Cash Flow Visibility

Having a clear view of your accounts receivable and future cash flow can improve your financing options. Many lenders are more willing to extend favorable credit terms to companies that can demonstrate strong cash flow management practices.

Using AI-powered accounts receivable automation, construction firms can maintain detailed reports that highlight their cash flow health. These insights can make it easier to secure loans or financing for new projects, further supporting business growth.

Conclusion

Effective cash flow management is critical for the construction industry, and adopting technologies like accounts receivable automation software is a game changer. By reducing DSO, streamlining payment collections, and improving forecasting, these technologies provide construction companies with the tools they need to maintain liquidity and grow sustainably.

Incorporating Gen AI in finance and accounting takes it a step further by offering predictive insights that enhance decision-making. By focusing on reducing DSO and improving cash flow, construction firms can not only survive but thrive in a competitive market.

Now is the time for construction businesses to embrace these innovations to secure their financial future and drive long-term success.

[cyberswift-story]

Leveraging AI in Salesforce Development

Artificial Intelligence (AI) is revolutionizing Salesforce development by infusing intelligence into traditional CRM processes. AI allows Salesforce to evolve from a static data management platform into a dynamic, insight-driven system that can predict, recommend, and automate key functions. With AI, Salesforce development is now more about building solutions that are not just reactive but proactive.

Know more at: https://www.cyberswift.com/blog/leveraging-ai-in-salesforce-development/

[poojagblog-blog]

The global Brushless DC Motor Market is expected to reach USD 17.6 billion by 2028 from USD 12.1 billion in 2023 at a CAGR of 7.9% during the 2023–2028 period according to a new report by MarketsandMarkets™. The increasing adoption of Brushless DC motors is driven by their precise speed control, low maintenance requirements, and high efficiency. Brushless DC motors offer enhanced reliability, reduced electromagnetic interference, and compact designs, making them essential in applications where these attributes are critical, such as in medical devices, aerospace, and automation equipment.

[robocraftstore]

Robocraft Store

Robocraft is a leading supplier of lithium ion battery (LION Cell Energy) from ahmedabad, india. We offer other electronics accessories like batteries & chargers, electric vehicle spare parts, e-bike motors and controllers, wireless solutions, robot parts, sensors, industrial power supply , ev kits, sensors, stepper motors and controllers, automation control and cnc machine parts.

Our industry provide different batteries like LiFePO4 Battery, Prismatic Battery, Lead Acid Battery and Lithium Polymer Battery.

You can check our website robocraftstore.com or contact us on 9429230946.

[sapidblue]

AI in Identity Verification: Strengthening Data Security

Discover how AI-driven identity verification enhances data security, fraud prevention, and compliance for the financial, healthcare, and e-commerce sectors.

To know more about this please visit our website. https://sapidblue.com/insights/title-ai-in-identity-verification-strengthening-data-security-protocols/

[cool-wilson-david]

AITribes Professional by Ben Murray and Karthik Ramani Review

AITribes Professional by Ben Murray and Karthik Ramani – Auto-build Next Generation Sites that Sell Products and Courses, Generate Leads, and Build Fans Hands-free with AI. AITribes Professional by Ben Murray and Karthik Ramani. Easy Customization & Site Setup, Pick from a variety of site customization options like colors, fonts, domain names, unique images and banners, and more to customize your…

[jcmarchi]

AI-powered underwater vehicle transforms offshore wind inspections

New Post has been published on https://thedigitalinsider.com/ai-powered-underwater-vehicle-transforms-offshore-wind-inspections/

AI-powered underwater vehicle transforms offshore wind inspections

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Beam has deployed the world’s first AI-driven autonomous underwater vehicle for offshore wind farm inspections. The technology has already proved its mettle by inspecting jacket structures at Scotland’s largest offshore wind farm, Seagreen—a joint venture between SSE Renewables, TotalEnergies, and PTTEP.

The AI-powered vehicle represents a significant leap forward in marine technology and underwater robotics. Capable of conducting complex underwater inspections without human intervention, it promises to dramatically enhance efficiency and slash costs associated with underwater surveys and inspections.

Traditionally, offshore wind site inspections have been manual, labour-intensive processes. Beam’s autonomous solution offers a radical departure from this approach, enabling data to be streamed directly back to shore. This shift allows offshore workers to concentrate on more intricate tasks while reducing inspection timelines by up to 50%, resulting in substantial operational cost savings.

Brian Allen, CEO of Beam, said: “We are very proud to have succeeded in deploying the world’s first autonomous underwater vehicle driven by AI. Automation can revolutionise how we carry out inspection and maintenance of offshore wind farms, helping to reduce both costs and timelines.”

Beyond improved efficiency, Beam’s technology elevates the quality of inspection data and facilitates the creation of 3D reconstructions of assets alongside visual data. This deployment marks a crucial step in Beam’s roadmap for autonomous technology, with plans to extend this AI-driven solution across its fleet of DP2 vessels, ROVs, and autonomous underwater vehicles (AUVs) throughout 2025 and 2026.

“Looking ahead to the future, the potential of this technology is huge for the industry, and success in these initial projects is vital for us to progress and realise this vision. This wouldn’t be possible without forward-thinking customers like SSE Renewables who are willing to go on the journey with us,” explained Allen.

The Seagreen wind farm, operational since October 2023, is the world’s deepest fixed-bottom offshore wind farm. Beam’s project at Seagreen has provided crucial insights into the potential of autonomous technology for large offshore wind superstructures. The data collected by the AI-driven vehicle will support ongoing operational reliability at the site, offering valuable information on areas such as marine growth and potential erosion at the foundations.

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Matthew Henderson, Technical Asset Manager – Substructure and Asset Lifecycle at SSE Renewables, commented: “At SSE, we have a mantra that ‘if it’s not safe, we don’t do it.’ Beam’s technology demonstrates that autonomous inspections can reduce the personnel we need to send offshore for planned inspections, while speeding up planned works and collecting rich data-sets to inform asset integrity planning.

“As we move further offshore, and into deeper waters, the ability to collect high-quality inspection data in a low-risk manner is imperative to us delivering our Net Zero Acceleration Programme.”

As Beam prepares to roll out its AI-driven inspection technology across its fleet in 2025 and 2026, this deployment aligns with the company’s mission to revolutionise offshore wind operations by making them more efficient and cost-effective—further supporting the global energy transition.

The success of this AI-powered underwater vehicle at Seagreen wind farm not only demonstrates the potential of autonomous technology in offshore wind inspections but also sets a new standard for safety, efficiency, and data quality in the industry. Such innovations will play a crucial role in ensuring the sustainability and cost-effectiveness of offshore wind energy.

See also: Hugging Face is launching an open robotics project

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, autonomous vehicle, beam, energy, environment, offshore wind, robotics, seagreen, sustainability, wind farm

[webpinosoftwares]

How AI and Automation are Transforming Digital Marketing

In today’s fast-paced digital world, businesses are constantly searching for ways to stay ahead of the competition. One of the biggest game-changers in recent years has been the rise of artificial intelligence (AI) and automation in digital marketing. These technologies are not just buzzwords — they are reshaping the way brands connect with their audience, optimize campaigns, and drive growth. In this blog, we will explore how AI and automation are transforming the digital marketing landscape and how your business can benefit from these innovations.

AI-Powered Content Creation: Faster, Smarter, and More Engaging Creating high-quality content consistently is a challenge for many businesses. AI has emerged as a powerful tool to address this issue. AI-powered content generators, like GPT-4, can create blog posts, social media updates, and even video scripts based on minimal input. These tools can analyze trends, keywords, and user intent to craft content that resonates with your audience. AI can also assist in creating personalized content at scale, helping businesses tailor their messaging for different segments of their audience. With the help of AI, brands can maintain a consistent flow of engaging, relevant content without overburdening their creative teams.

Enhancing SEO with AI-Driven Tools

Search engine optimization (SEO) is critical for any business looking to improve its online visibility. AI is transforming SEO by making it more data-driven and precise. Tools like SurferSEO and SEMrush use machine learning to analyze search algorithms, competition, and user behavior to provide actionable insights. These AI-driven tools help businesses identify high-performing keywords, optimize on-page content, and even predict trends. Automation tools can also handle repetitive tasks like auditing websites, fixing broken links, and ensuring content is mobile-friendly — saving valuable time for marketers.

3. AI-Driven Personalization in Marketing Campaigns

Personalization has become a cornerstone of successful digital marketing. AI allows businesses to analyze customer data and behavior in real-time, enabling hyper-targeted marketing strategies. AI-driven algorithms can segment audiences based on their preferences, behavior, and interactions, allowing for personalized ad experiences. For instance, AI can optimize email campaigns by tailoring the content, subject lines, and sending times to individual recipients. Personalized marketing powered by AI increases customer engagement, loyalty, and conversion rates, as people are more likely to respond positively to content that feels tailored to their needs. @https://thewebpino.com/blog

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