#technology research services

[1lattice]

Uncover Growth Opportunities with 1Lattice Tech Market Research

1Lattice helps technology and software companies grow through better product-market fit, improved competitive positioning, and increased customer loyalty. With our proven methods, your business can thrive in today's dynamic market landscape. Let 1Lattice be your partner in achieving sustainable tech growth and enduring success. Stay ahead with the latest tech landscape. Join us at 1Lattice, as we explore the forefront of innovation and navigate the exciting possibilities of the digital frontier.

[elsa16744]

Advanced Technology Research Services | SG Analytics

Discover SG Analytics' cutting-edge technology research services designed to equip businesses with profound insights into industry trends, emerging technologies, and market dynamics. Our expert analysts delve deep into the technological landscape, offering actionable intelligence that empowers strategic decision-making. Stay ahead of the curve and make well-informed choices for sustained growth and competitive advantage.

[saw5]

it is kind of ridiculous how often the interactions we have with grad students and faculty at work amount to them saying "i need a pdf of this article and the link on the library website that says it'll take me to the pdf doesn't take me to the pdf, can you find the pdf for me" and then me going to the link and returning to the patron to tell them that if they'd look at the webpage for minimum 1 second they'd see that it is the disambiguation page for the journal with a list of its issues ordered chronologically by year, clearly visible in a sidebar, and that if they click on the issue they need, the article with its download to pdf button is first on the list.

[datascraping001]

Google Search Results Data Scraping

Google Search Results Data Scraping

Harness the Power of Information with Google Search Results Data Scraping Services by DataScrapingServices.com. In the digital age, information is king. For businesses, researchers, and marketing professionals, the ability to access and analyze data from Google search results can be a game-changer. However, manually sifting through search results to gather relevant data is not only time-consuming but also inefficient. DataScrapingServices.com offers cutting-edge Google Search Results Data Scraping services, enabling you to efficiently extract valuable information and transform it into actionable insights.

The vast amount of information available through Google search results can provide invaluable insights into market trends, competitor activities, customer behavior, and more. Whether you need data for SEO analysis, market research, or competitive intelligence, DataScrapingServices.com offers comprehensive data scraping services tailored to meet your specific needs. Our advanced scraping technology ensures you get accurate and up-to-date data, helping you stay ahead in your industry.

List of Data Fields

Our Google Search Results Data Scraping services can extract a wide range of data fields, ensuring you have all the information you need:

-Business Name: The name of the business or entity featured in the search result.

- URL: The web address of the search result.

- Website: The primary website of the business or entity.

- Phone Number: Contact phone number of the business.

- Email Address: Contact email address of the business.

 - Physical Address: The street address, city, state, and ZIP code of the business.

- Business Hours: Business operating hours

- Ratings and Reviews: Customer ratings and reviews for the business.

- Google Maps Link: Link to the business’s location on Google Maps.

- Social Media Profiles: LinkedIn, Twitter, Facebook

These data fields provide a comprehensive overview of the information available from Google search results, enabling businesses to gain valuable insights and make informed decisions.

Benefits of Google Search Results Data Scraping

1. Enhanced SEO Strategy

Understanding how your website ranks for specific keywords and phrases is crucial for effective SEO. Our data scraping services provide detailed insights into your current rankings, allowing you to identify opportunities for optimization and stay ahead of your competitors.

2. Competitive Analysis

Track your competitors’ online presence and strategies by analyzing their rankings, backlinks, and domain authority. This information helps you understand their strengths and weaknesses, enabling you to adjust your strategies accordingly.

3. Market Research

Access to comprehensive search result data allows you to identify trends, preferences, and behavior patterns in your target market. This information is invaluable for product development, marketing campaigns, and business strategy planning.

4. Content Development

By analyzing top-performing content in search results, you can gain insights into what types of content resonate with your audience. This helps you create more effective and engaging content that drives traffic and conversions.

5. Efficiency and Accuracy

Our automated scraping services ensure you get accurate and up-to-date data quickly, saving you time and resources.

Best Google Data Scraping Services

Scraping Google Business Reviews

Extract Restaurant Data From Google Maps

Google My Business Data Scraping

Google Shopping Products Scraping

Google News Extraction Services

Scrape Data From Google Maps

Google News Headline Extraction   

Google Maps Data Scraping Services

Google Map Businesses Data Scraping

Google Business Reviews Extraction

Best Google Search Results Data Scraping Services in USA

Dallas, Portland, Los Angeles, Virginia Beach, Fort Wichita, Nashville, Long Beach, Raleigh, Boston, Austin, San Antonio, Philadelphia, Indianapolis, Orlando, San Diego, Houston, Worth, Jacksonville, New Orleans, Columbus, Kansas City, Sacramento, San Francisco, Omaha, Honolulu, Washington, Colorado, Chicago, Arlington, Denver, El Paso, Miami, Louisville, Albuquerque, Tulsa, Springs, Bakersfield, Milwaukee, Memphis, Oklahoma City, Atlanta, Seattle, Las Vegas, San Jose, Tucson and New York.

Conclusion

In today’s data-driven world, having access to detailed and accurate information from Google search results can give your business a significant edge. DataScrapingServices.com offers professional Google Search Results Data Scraping services designed to meet your unique needs. Whether you’re looking to enhance your SEO strategy, conduct market research, or gain competitive intelligence, our services provide the comprehensive data you need to succeed. Contact us at info@datascrapingservices.com today to learn how our data scraping solutions can transform your business strategy and drive growth.

Website: Datascrapingservices.com

Email: info@datascrapingservices.com

[transcriptioncity]

The Importance of Multilingual Transcription Services

The Importance of Multilingual Transcription Services Expanding Horizons with Multilingual Transcription Services The demand for multilingual transcription services is surging as businesses extend their reach across borders. Companies recognize that effective communication in multiple languages is essential to succeed in the global marketplace. Transcription services enable businesses to…

[portfolioed]

Project management and copywriting for this research into the business risks of technology.

A very large project with sector-specific reports into:

Media

Retail

Financial Services

Life Sciences and Healthcare

This has also been recommissioned for another year.

[thinkermediagroup]

The Essential Tools for Effective Account-Based Marketing

Begin with an overview of Account-Based Marketing (ABM), emphasizing its importance in aligning marketing and sales efforts towards the most lucrative accounts. Highlight how ABM differs from traditional marketing approaches by focusing on personalized and targeted strategies.

Understanding ABM Tools

Explain that ABM tools are designed to help in identifying prospects, engaging with them more effectively, and closing deals by nurturing key decision-makers within targeted companies. These tools integrate data analysis, customer relationship management, and marketing automation to deliver personalized marketing campaigns.

Key Features of ABM Tools

Account Identification: Tools that help in identifying and selecting accounts that are likely to convert. Discuss features like predictive analytics and AI capabilities which help in pinpointing high-value targets.

Data and Contact Management: Importance of clean, comprehensive data on target accounts. Tools should provide seamless integration with existing CRM systems to ensure that all account data is up-to-date and accessible.

Targeted Content Delivery: Tools must allow for the creation and management of personalized content tailored to the needs and interests of each account. Mention platforms that support dynamic content which adjusts based on the viewer’s profile.

Engagement Channels: Detail how ABM tools facilitate engagement across multiple channels (email, social media, web, etc.). Discuss how they provide cohesive communication strategies that are consistent and personalized.

Lead and Account Scoring: Importance of scoring leads and accounts based on their interaction with your content and their likelihood to convert. This helps in prioritizing efforts and resources effectively.

Analytics and Reporting: Emphasize tools that provide detailed analytics on campaign performance, account engagement, and ROI. Explain how these insights are crucial for refining strategies and proving the value of ABM.

Essential ABM Tools to Consider

CRM Integration: Salesforce, HubSpot

Marketing Automation Platforms: Marketo, Eloqua

Data and Analytics Tools: Google Analytics, Tableau

Content Personalization: Adobe Experience Manager, Optimizely

Communication Tools: MailChimp, SendGrid, LinkedIn Sales Navigator

Account Identification: Demandbase, InsideView

Implementing ABM Tools

Offer a step-by-step guide on how to implement these tools within a marketing strategy. Discuss the importance of staff training, tool integration, and setting up systems to monitor and analyze results.

Best Practices

Share some best practices for using ABM tools effectively:

Consistency Across Channels: Ensure that messaging and content are consistent across all touchpoints.

Alignment With Sales: Close collaboration with the sales team is essential to ensure that marketing and sales strategies are aligned.

Continuous Improvement: Regularly review the performance and adapt strategies based on what the data shows.

Conclusion

Conclude by reinforcing the importance of ABM tools in achieving a successful account based marketing strategies. Emphasize that while the right tools are critical, the key to ABM success lies in a strategic approach and flawless execution.

[industryupdate]

APAC Is Dominating Managed SIEM Services Industry

The managed SIEM services market generated a value of USD 7,531.7 million in 2023, which will rise to USD 21,707.2 million, powering at over 16.0% compound annual growth rate, by 2030.

The increasing cyber fraud prevalence is driving the need for better security solutions, which, sequentially, is boosting industry expansion.

According to a U.K.-based IT firm, in 2021, cyberattacks increased by 125% at the worldwide level, compared to 2020. Among the different kinds of frauds (such as phishing, malware, ransomware, botnet, and data breaches), phishing is highly prevalent.

Over 300,000 internet users reported being a victim of phishing in 2021, and around 80% of the businesses were the target of a phishing attempt in 2022.

SIEM acts as a comprehensive technology solution, offering network monitoring & signals 24/7, early security breach warnings, hidden threat data, and other measures for the business.

It assists businesses in staying compliant while uniting data associated with PCI DSS, GDPR, and ISO monitoring in a single central location.

Cloud deployment is a major trend among organizations and firms because it meets their business necessities.

With the constantly developing digital landscape, cloud security risks have become more advanced. As a result, most cloud providers take all precautions as well as dynamic steps to guard their servers’ integrity.

Market Insights

• The co-managed category accounted for the largest share of the industry. Co-managed SIEM is a combined method for security purposes, including a partnership between the managed security service providers (MSSPs) and firms.

• The cloud category was the largest contributor to the industry in 2023, with approximately 70% share. This is primarily because of the benefits related to the cloud, including effective scalability, approachability, reliability, and agility in incorporating any workflow or software.

• Cloud deployments are becoming more popular because numerous companies are implementing digitally transformative plans for smooth processes.

• The SME category is likely to advance at a higher compound annual growth rate in the years to come. This is because of the substantial inclination toward cybersecurity prioritization.

• Companies are progressively understanding the significance of having robust administrative safety & security measures to protect sensitive digital data and digital assets.

• The log management & reporting category is a significant contributor to the industry.

• The log management & reporting solutions centrally collect, store, correlate, examine, and dispose of information, to deliver actionable insights for troubleshooting, security monitoring, and performance improvement.

• BFSI accounted for the largest share of the industry in 2023, and it will further advance at approximately 17.2% CAGR in the years to come. The BFSI industry has always been more susceptible to cyberattacks compared to any other industry.

• APAC is likely to advance at the fastest CAGR during this decade. This is because of the rising rate of digital transformation, increasing online connectivity, and surging acceptance of the cloud.

• The various cyber threat landscape, along with an increasing consciousness of cybersecurity measures, is convincing enterprises to invest in active safety solutions.

• The managed SIEM services industry will observe continued development, owing to the rising number of cyberattacks as well as regulatory pressure.

• The competition is expected to increase as established companies expand their portfolios and new players arise with novel solutions.

[salesmarkglobal]

Data-driven Strategies & Insights in Action by SalesMark Global

At SalesMark Global, we understand that data is only valuable if it can be harnessed. That’s why we offer cutting-edge solutions that help companies structure their data, find insights, and enable intelligence. Our on-demand service delivery ensures you get the information you need, when you need it.

To Learn more B2B Strategies for Analytics Intelligence Visit - 

Also Read- Data-driven Precision Marketing 

[tritonmarketresearchamey]

Bioremediation Technology and Services: Market Analysis 2024-2032

The global bioremediation technology and services market is set to advance at a CAGR of 7.97% during the forecasting phase 2024-2032. Request Free Sample Report

According to Triton Market Research, the Global Bioremediation Technology and Services Market report is sectioned by Type (In-situ Bioremediation, Ex-situ Bioremediation), Service (Wastewater Remediation, Soil Remediation, Oilfield Remediation, Other Services), Technology (Biostimulation, Phytoremediation, Bioreactors, Bioaugmentation, Fungal Remediation, Land-based Treatments), and Regional Outlook (North America, Europe, Middle East and Africa, Asia-Pacific, Latin America).

The report highlights the Market Summary, Industry Outlook, Impact Analysis, Porter’s Five Forces Analysis, Key Buying Impact Analysis, Industry Components, Market Maturity Analysis, Key Market Strategies, Market Drivers, Challenges, Opportunities, Analyst Perspective, Competitive Landscape, Research Methodology and scope, Global Market Size, Forecasts & Analysis (2024-2032).

Based on Triton’s analysis, the global bioremediation technology and services market is set to advance at a CAGR of 7.97% during the forecasting phase 2024-2032. 

Bioremediation technique encompassing phytoremediation, bioaugmentation, and biostimulation, offers an eco-friendly approach to tackle diverse environmental challenges, serving as a sustainable alternative to conventional remediation techniques.

Rising integration of nanotechnology and growing innovation in metagenomics and genomics are creating ample opportunities for the bioremediation technology and services market. Nanotechnology enables the development of advanced materials and techniques with properties tailored for environmental cleanup, such as increased surface area for adsorption, enhanced reactivity, and improved transport of contaminants. These nanomaterials can target specific pollutants, allowing for more precise and targeted remediation efforts. This significantly widens the scope of the studied market globally. 

However, uncertainty pertaining to the site and the long duration of the process restricts the development of the bioremediation technology and services market. 

Asia-Pacific is estimated to become the fastest-growing region globally. The surge in population alongside urbanization and industrial expansion, coupled with heightened oil and gas consumption, has fostered numerous contaminated sites. Consequently, heightened awareness regarding the adverse effects of pollution and governmental regulations aimed at environmental preservation has elevated the need for bioremediation services, which significantly fuels the market’s growth. 

The notable companies thriving in the bioremediation technology and services market include Carus Group Inc, Sevenson Environmental Services Inc, Aquatech International LLC, Drylet Inc, Xylem Inc, Soilutions Ltd, Verde Environmental Group, RT Environmental Services Inc, Regenesis Remediation Solutions, and Ivey International Inc. 

The market is currently dominated by established players who wield significant control. Any prospective newcomer would face substantial barriers to entry, including high capital requirements for technical products and labor, as well as a considerable time frame needed to secure a foothold in the market. Given the robust competition, establishing a new presence becomes a formidable challenge. As a result, the threat posed by new entrants remains low.

[jcmarchi]

A faster, better way to prevent an AI chatbot from giving toxic responses

New Post has been published on https://thedigitalinsider.com/a-faster-better-way-to-prevent-an-ai-chatbot-from-giving-toxic-responses/

A faster, better way to prevent an AI chatbot from giving toxic responses

A user could ask ChatGPT to write a computer program or summarize an article, and the AI chatbot would likely be able to generate useful code or write a cogent synopsis. However, someone could also ask for instructions to build a bomb, and the chatbot might be able to provide those, too.

To prevent this and other safety issues, companies that build large language models typically safeguard them using a process called red-teaming. Teams of human testers write prompts aimed at triggering unsafe or toxic text from the model being tested. These prompts are used to teach the chatbot to avoid such responses.

But this only works effectively if engineers know which toxic prompts to use. If human testers miss some prompts, which is likely given the number of possibilities, a chatbot regarded as safe might still be capable of generating unsafe answers.

Researchers from Improbable AI Lab at MIT and the MIT-IBM Watson AI Lab used machine learning to improve red-teaming. They developed a technique to train a red-team large language model to automatically generate diverse prompts that trigger a wider range of undesirable responses from the chatbot being tested.

They do this by teaching the red-team model to be curious when it writes prompts, and to focus on novel prompts that evoke toxic responses from the target model.

The technique outperformed human testers and other machine-learning approaches by generating more distinct prompts that elicited increasingly toxic responses. Not only does their method significantly improve the coverage of inputs being tested compared to other automated methods, but it can also draw out toxic responses from a chatbot that had safeguards built into it by human experts.

“Right now, every large language model has to undergo a very lengthy period of red-teaming to ensure its safety. That is not going to be sustainable if we want to update these models in rapidly changing environments. Our method provides a faster and more effective way to do this quality assurance,” says Zhang-Wei Hong, an electrical engineering and computer science (EECS) graduate student in the Improbable AI lab and lead author of a paper on this red-teaming approach.

Hong’s co-authors include EECS graduate students Idan Shenfield, Tsun-Hsuan Wang, and Yung-Sung Chuang; Aldo Pareja and Akash Srivastava, research scientists at the MIT-IBM Watson AI Lab; James Glass, senior research scientist and head of the Spoken Language Systems Group in the Computer Science and Artificial Intelligence Laboratory (CSAIL); and senior author Pulkit Agrawal, director of Improbable AI Lab and an assistant professor in CSAIL. The research will be presented at the International Conference on Learning Representations.

Automated red-teaming 

Large language models, like those that power AI chatbots, are often trained by showing them enormous amounts of text from billions of public websites. So, not only can they learn to generate toxic words or describe illegal activities, the models could also leak personal information they may have picked up.

The tedious and costly nature of human red-teaming, which is often ineffective at generating a wide enough variety of prompts to fully safeguard a model, has encouraged researchers to automate the process using machine learning.

Such techniques often train a red-team model using reinforcement learning. This trial-and-error process rewards the red-team model for generating prompts that trigger toxic responses from the chatbot being tested.

But due to the way reinforcement learning works, the red-team model will often keep generating a few similar prompts that are highly toxic to maximize its reward.

For their reinforcement learning approach, the MIT researchers utilized a technique called curiosity-driven exploration. The red-team model is incentivized to be curious about the consequences of each prompt it generates, so it will try prompts with different words, sentence patterns, or meanings.

“If the red-team model has already seen a specific prompt, then reproducing it will not generate any curiosity in the red-team model, so it will be pushed to create new prompts,” Hong says.

During its training process, the red-team model generates a prompt and interacts with the chatbot. The chatbot responds, and a safety classifier rates the toxicity of its response, rewarding the red-team model based on that rating.

Rewarding curiosity

The red-team model’s objective is to maximize its reward by eliciting an even more toxic response with a novel prompt. The researchers enable curiosity in the red-team model by modifying the reward signal in the reinforcement learning set up.

First, in addition to maximizing toxicity, they include an entropy bonus that encourages the red-team model to be more random as it explores different prompts. Second, to make the agent curious they include two novelty rewards. One rewards the model based on the similarity of words in its prompts, and the other rewards the model based on semantic similarity. (Less similarity yields a higher reward.)

To prevent the red-team model from generating random, nonsensical text, which can trick the classifier into awarding a high toxicity score, the researchers also added a naturalistic language bonus to the training objective.

With these additions in place, the researchers compared the toxicity and diversity of responses their red-team model generated with other automated techniques. Their model outperformed the baselines on both metrics.

They also used their red-team model to test a chatbot that had been fine-tuned with human feedback so it would not give toxic replies. Their curiosity-driven approach was able to quickly produce 196 prompts that elicited toxic responses from this “safe” chatbot.

“We are seeing a surge of models, which is only expected to rise. Imagine thousands of models or even more and companies/labs pushing model updates frequently. These models are going to be an integral part of our lives and it’s important that they are verified before released for public consumption. Manual verification of models is simply not scalable, and our work is an attempt to reduce the human effort to ensure a safer and trustworthy AI future,” says Agrawal.  

In the future, the researchers want to enable the red-team model to generate prompts about a wider variety of topics. They also want to explore the use of a large language model as the toxicity classifier. In this way, a user could train the toxicity classifier using a company policy document, for instance, so a red-team model could test a chatbot for company policy violations.

“If you are releasing a new AI model and are concerned about whether it will behave as expected, consider using curiosity-driven red-teaming,” says Agrawal.

This research is funded, in part, by Hyundai Motor Company, Quanta Computer Inc., the MIT-IBM Watson AI Lab, an Amazon Web Services MLRA research grant, the U.S. Army Research Office, the U.S. Defense Advanced Research Projects Agency Machine Common Sense Program, the U.S. Office of Naval Research, the U.S. Air Force Research Laboratory, and the U.S. Air Force Artificial Intelligence Accelerator.

[1lattice]

Market Trends Analysis for Indian Enterprises by 1Lattice

Stay ahead of the curve with comprehensive market trends analysis by 1Lattice, tailored for Indian enterprises. Gain valuable insights into evolving consumer behavior, competitive landscapes, and emerging opportunities. Harnessing advanced assessment, analytics, and industry expertise, 1Lattice delivers actionable intelligence to drive strategic decision-making and maximize growth potential. Partner with 1Lattice to unlock a competitive edge and capitalize on market trends like never before.

[ragini-14]

Service Robotics Market Size 2024 Top Companies, Long-term Planned Business Strategy up to 2030

The Service Robotics Market Research Report 2024 begins with an overview of the market and offers throughout development. It presents a comprehensive analysis of all the regional and major player segments that gives closer insights upon present market conditions and future market opportunities along with drivers, trending segments, consumer behaviour, pricing factors and market performance and estimation and prices as well as global predominant vendor’s information. The forecast market information, SWOT analysis, Service robotics Market scenario, and feasibility study are the vital aspects analyzed  in this report.

The Service robotics market is expected to grow at 25% CAGR from 2022 to 2029. It is expected to reach above USD 161.68 billion by 2029 from USD 21.7 billion in 2023.

Access Full Report:

https://exactitudeconsultancy.com/reports/15736/service-robotics-market/