How do Recommendation Engine work and what are its advantages?
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Recommendation engines today serve as the key to the success of any online business. But, for a sound recommendation system to make relevant recommendations in real-time requires powerful abilities to correlate not just the product but also customer, inventory, logistics, and social sentiment data. All in all, recommender systems can be a powerful tool for any e-commerce business, and rapid future developments in the field will increase their business value even further. According to Statista, the global retail e-commerce industry has grown leaps and bounds in the last few years and is estimated to reach a whopping 6.54 trillion US dollars by 2022. However, developing a recommendation engine takes a great deal of data expertise. Your recommendation engine is only as effective as it is built to be. To help you leverage the power of the product recommendation engine, check out the carousel below and explore various aspects of the recommender system, including its types and advantages. #business #recommendationengine #success #data
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When it comes to developing successful software, several factors define that success.
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Unused sitting data is no different from the data that was never first collected.
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Software development is a notoriously tricky task with tons of risks to overcome and lots of stress if you have to meet inflexible deadlines.
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This is what motivates us.
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In our 12 years as a digital product development company where we guide our clients on their digital transformation journey, we often get asked where we get the most satisfaction.
For us, the answer will always be whenever a client provides positive feedback & praises our services.
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There are plenty of companies to choose from. Finding the right one you can count on and forge a lasting relationship with is quite an arduous task.
What gets you up in the morning?
Apart from the morning coffee, ours is IMPACT.
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Clutch Review: Web & Software Development for Data Analytics Company
A certain rush comes with adding a new customer to your company.
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Top 8 Deep Learning Frameworks
As of today, both Machine Learning, as well as Predictive Analytics, are imbibed in the majority of business operations and have proved to be quite integral.
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Given that deep learning is the key to executing tasks of a higher level of sophistication, building and deploying them successfully proves to be quite the herculean challenge for data scientists and data engineers across the globe.
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Each framework is built in a different manner for different purposes.
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Link to the complete article ⬇️
https://marutitech.com/top-8-deep-learning-frameworks/
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4 Low Code/ No Code Statistics That You Cannot Miss in 2021
Software development is slow & expensive as it is complex & requires hiring technical resources.
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9 Insightful Facts about Artificial Intelligence We Bet You Didn’t Know!
Artificial intelligence (AI) has received immense recognition in the past years, especially in the #COVID-19 scenario. There is a buzz in the tech industry around AI & its developments.
If you have ever talked with Siri, precisely searched for a film or show on @Netflix, or asked Siri the temperature, you have interacted with AI.
The primary purpose of #artificialintelligence is for humans or businesses to have a machine that thinks faster & more efficiently.
But the question becomes, in this process, will advancements in #technology take over the world? Will it help humankind reach the highest potential or destroy it in the process?
@PwC predicted that the global GDP could rise by 14% as a result of AI-powered activities by 2030, which is equal to US$15.7 trillion.
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Grab a free ebook on how Artificial Intelligence could help revolutionize industries? Link is in the comments below ⬇️
Follow @Maruti Techlabs for more such insights.
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How do Recommendation Engines work?
Recommendation engines analyze user data like purchase history and preferences to recommend additional products or content. They typically collect, store, analyze, and filter data in four phases. There are three main types of recommendation engines: collaborative filtering based on user similarity; content-based filtering based on item descriptions and user profiles; and hybrid systems that combine algorithms. Recommendation engines are used by ecommerce sites, streaming services, and other applications to enhance sales and deliver personalized experiences.
12 Trends That Will Define The Future Of Mobile Application Development
It is predicted that there are 7 billion mobile users around the world in 2021. It’s projected that this figure will continue to rise as technology becomes more accessible each passing day. Mobile phones have integrated into our lives seamlessly over the past decade.
Regardless of your industry, the mobile application development industry has been genuinely altering and redefining business for quite a while now. Almost every company needs to amalgamate the latest mobile app development trends and extend its marketing strategy to gain traction towards optimum growth and reach its targeted market effectively.
Kodak, Compaq, Blockbuster Video – what do these companies have in common? Despite being widely popular in the past, they failed to keep up with technology and, therefore, ended up closing or selling out. All this at a time when technology was not changing as fast as it is today. Technology truly is in a constant state of flux. When businesses fail to keep up, they usually tend to go the Blockbuster way.
The only way to stand out in such an environment is through constant innovation. Whether you are a developer or a business with a mobile app, you must be updated with the latest mobile app trends. Without incorporating these trends into your apps, your mobile might become obsolete
Apps are being developed faster than ever to meet the rising demand for new content. Consumers today expect services to come with apps with friendly, clean user interfaces. The presentation of your brand through your app can go a long way with the tech-savvy customers of today.
The future of mobile app development lies in apps that load fast, hold less memory, but are feature-rich. Instant apps do all of this.
Some examples of Instant apps are @Hollar, @The New York Times Crossword & @Wish.
Mobile app development is a continually evolving field that is at the forefront of #innovation. These cutting-edge technologies also need experienced & talented mobile app developers for implementation.
Let’s look at the emerging trends in mobile application development that you must keep an eye out for.
Link to the complete article in the comments below ⬇️
Follow @Maruti Techlabs for more such insights.
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Given the many advantages of chatbots, rising chatbot trends, and the ever-increasing popularity of machine learning (ML) and artificial intelligence, adopting new technologies has become business-critical.
In a rapidly maturing conversational AI market, haphazardly put chatbots will vanish. Only the ones that are strategically developed and implemented across channels shall survive.
Across all digital platforms, millions of users will prefer voice-enabled conversational AI to interact with an enterprise. Such is the future of chatbots. Moreover, various chatbot applications will no longer remain siloed.
Businesses would be able to create an intranet of chatbots that can share information and work together seamlessly. In the meantime, chatbots will continue to boost user engagement and enhance customer support.
According to #research by @Deloitte, chatbots are projected to save almost $8 billion annually for businesses by 2022.
Many companies like @MakeMyTrip & @Yatra Online Pvt Ltd already use certain chatbot features to send flight and stay tickets directly to Whatsapp and the details via SMS.
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The document discusses statistics and predictions about the growth and use of chatbots between 2021 and 2025. It predicts that the global conversational AI market will grow significantly in this period, reaching $13.9 billion by 2025. It also outlines specific predictions for each year regarding increased spending on chatbots, cost savings for businesses, and the growing role of automation and AI in customer interactions.
Top 9 Use Cases for Human Resources Automation
Robotic Process Automation (RPA) is a relatively recent technology that has fundamentally changed the way we think about routine and repetitive operations. Deloitte’s recent survey results confirmed that more than 74% of respondents are open to engaging with upcoming technologies in the near future, with almost 22% of them have already tried or implemented Robotic Process Automation.
Human resources automation using RPA will allow organizations to automate transactional processes so that the HR team can focus on more strategic and meaningful responsibilities. It will enable redirection of time and resources on more productive activities such as giving face time to your employees or conflict resolution.
RPA in HR operations focuses on micro-tasks, allowing it to integrate all of the processes and programs that the old systems were unable to handle effectively. This is done by running a software code that performs repetitive and high-volume operational activities on behalf of the HR work staff.
The operations that it covers range from hiring new employees, processing payroll, and evaluating benefits to creating compliance reports that are all very time-consuming and labor-intensive. RPA adds accuracy and speed to data processing and can be instrumental in cutting down HR-related costs. The benefits of RPA in HR can revolutionize the industry by enhancing work efficiency and improving ROIs.
The scope and RoI of RPA are continuously growing, and it is no longer restricted to certain aspects of a business. Human resources automation leads to increased accuracy, considerable labor savings, and faster processing times, resulting in happier workers and customers.
RPA provides firms and their HR departments with a slew of distinct and quantifiable advantages. Some prominent use cases are discussed here.
Link to the complete article in the comments below ⬇️
Follow @Maruti Techlabs for more such insights.
#RPA #humanresources #digitaltransformation #management
11 Reasons Why You Too Need To Outsource Mobile App Testing
The document outlines 11 reasons why outsourcing mobile app testing works best. It argues that outsourcing testing ensures quality apps while saving time and costs. Outsourcing provides cost-effectiveness, process efficiency, faster results, QA automation, code confidentiality, scalability, timeline maintenance, focused operations, and autonomous testing results. Outsourcing mobile app testing can help businesses overcome challenges and improve final product quality.
Artificial Intelligence and Machine Learning in the Insurance Industry
The insurance industry is facing tumultuous times with #technology shaping the way it operates.
Chatbots are employed in various industries today & pose massive opportunities for the insurance industry.
According to a report by @Business Insider, four top messenger apps have a combined user base of more than 3.5 billion, exceeding the combined user base of four largest social networks.
Machine learning capabilities are already being used in the insurance space in the form of automated policy writing.
Today, insurers are customizing rates for individuals based on their specific #data & historical records. AI is helping them achieve this scale of personalization.
AI is a critical factor of success for companies in the insurance industry & companies can leverage technology for fraud detection, claims #management, #analytics, & customer experience.
Insurance companies are also able to bundle services & products for each user separately, given the demand & use of services for them.
Since sales & marketing departments get better visibility of customer interests & insights on buying behaviour, they can sell according to buyer intention.
Link to the complete article in the comments below ⬇️
#ML #AI #artificialintelligence #machinelearning #insurance
6 Driving Factors Behind NLP in Healthcare
The healthcare industry is fast realizing the importance of data, collecting information from EHRs, sensors, and other sources. However, the struggle to make sense of the data collected in the process might rage on for years.
Since the healthcare system has started adopting cutting-edge technologies, there is a vast amount of data collected in silos. Healthcare organizations want to digitize processes, but not unnecessarily disrupt established clinical workflows.
Therefore, we now have as much as 80 percent of data unstructured and of poor quality. This brings us to a pertinent challenge of data extraction and utilization in the healthcare space through NLP in Healthcare.
This data as it is today, and given the amount of time and effort it would need for humans to read and reformat it, is unusable. Thus, we cannot yet make effective decisions in healthcare through analytics because of the form our data is in.
Therefore, there is a higher need to leverage this unstructured data as we shift from fee-for-service healthcare model to value-based care.
This is where Natural Language Processing, a subcategory of Artificial Intelligence can come in. NLP based chatbots already possess the capabilities of well and truly mimicking human behavior and executing a myriad of tasks.
When it comes to implementing the same on a much larger use case, like a hospital – it can be used to parse information and extract critical strings of data, thereby offering an opportunity for us to leverage unstructured data.
NLP has found applications in healthcare ranging from the most cutting-edge solutions in precision #medicine applications to the simple job of #coding a claim for reimbursement or billing.
According to @MarketsandMarkets, the global NLP in healthcare market size will grow from USD 1.5 billion in 2020 to USD 3.7 billion by 2025, at a CAGR of 20.5% during the forecast period.
With NLP getting more & more traction in healthcare, providers are focusing on developing solutions that can understand, analyze, & generate languages that humans can understand
There is a further need for voice recognition systems that can automatically respond to queries from patients & healthcare users.
With conversational #AI already being a success within the healthcare space, a key use-case of implementing NLP is the ability to help patients understand their symptoms & gain more knowledge about their conditions.
Link to the complete article in the comments below ⬇️
#NLP #healthcare #HealthTech #digitalhealth
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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Maruti Techlabs engages in strategic partnership with IBM
Maruti Techlabs engages in a strategic partnership with IBM to help businesses easily deploy powerful NLP-based multilingual chatbots.
The partnership is geared towards supporting businesses that are looking to catapult the value of business process automation through conversational AI - especially for those in retail, financial services, healthcare & telecommunications.
The partnership helps Maruti Techlabs leverage its chatbot & live chat platform, WotNot & to integrate with IBM Watson for scaling automated conversations through more robust NLP.
The combination of WotNot & Watson is designed to provide an easy-to-use no-code/low-code environment for building scalable bots that use AI & multilingual NLP capability.
This aims toward smarter, data-driven decision-making while automating tasks & processes.
The collaboration seeks to expedite how enterprises deploy intelligent chatbots & automation to the core enterprise system functions or departments that drive #business execution.
Follow Maruti Techlabs for more such insights.
#deeplearning #automation #technology #artificialintelligence #data
Maruti Techlabs Recognized as India's Growth Champion 2022
Maruti Techlabs was recognized as one of India's Growth Champions in 2022 by The Economic Times and Statista for its incredible growth story. The Economic Times and Statista conducted months of research and data analysis to identify outstanding Indian companies that have achieved significant growth. Maruti Techlabs stood out and was selected for the recognition based on its ability to create long-term value for customers, employees, and stakeholders through digital transformation solutions. This award honors Maruti Techlabs' progress over 12 years and its dedication to exceptional client service.
Clutch Review: Decision Support Tool Dev & Design for Oil & Energy Company
Technology today is evolving at a rapid pace, enabling faster changes and causing acceleration of the rate of change.
Such scenarios require the businesses to opt for custom software development to improve, customize and scale their product.
Our portfolio’s most recent success story involves partnering with an oil and energy company based in the UK.
The project aimed to upgrade their decision support tool that assists the staff in deciding whether it is safe to send technicians to offshore wind turbines.
Our engineering team impressed the client successfully by implementing the project with the right combination of scaled agile frameworks and spearheaded software testing efforts.
There is no joy bigger than the compliment of a happy client, and here’s what they has to say about working with us-
“Maruti Techlabs was able to deliver consistently, so we were able to review everything at every stage. There was also no gap in their #communication. As a result, some design decisions were made effectively because they worked well with all the backend engineers, ensuring that there was no friction between the front- and backend.”
This is what encourages us to put our clients at the center of everything we do.
Check out the carousel below to learn more about what it is like to work with us.
#clienttestimonial #customerfeedback #customerexperience #clientreview
Software Development for Automotive Company
When it comes to developing successful software, several factors define that success.
Perfect software requires a perfect execution method. With the experience of developing & deploying hundreds of products over the last decade, we know the right mixture of tools and methodologies to achieve this success.
For over 12 years, we have been helping startups and leading businesses with our digital transformation and innovation partnership across the globe.
Our approach, attitude, skill-sets, quality, and most importantly, our support make us the best partner compared to everyone else out there.
But don’t take our word for it.
Here’s what our client has to say about working with us -
“The team at Maruti interacts seamlessly with our team and has become an extension to our company. Most importantly, they provide value to the partnership by helping drive our business growth with valuable feedback and timely completion of projects.”
The project was a collaboration with an automotive company for their software development services. Our engineering team implemented it by using Python, Django, and REST API tech stack.
In the end, our experts impressed the stakeholders with their technical experience, excellent communication skills, and a good understanding of business.
Check out the carousel below to learn more about what it is like to work with us.
Link to the complete review on @Clutch.co in the comments below⬇
Follow @Maruti Techlabs for more insights.
#clienttestimonial #customerfeedback #customerexperience #clientreview
Machine Learning Prediction Tool for Auto Parts Manufacturer
Unused sitting data is no different from the data that was never first collected.
What you have is a data glut. All you need is to have someone who can convert these static data into applicable insights.
This is followed by our Data Science team, capturing the essence of data & creating new opportunities by understanding hidden trends.
We worked on building a predictive analytics model for an auto parts manufacturer. The goal was to have a model that accurately predicted the sales for auto parts over a given period of time.
Here’s what the clients have to say about working with us -
“Maruti Techlabs is attentive to customer service. Their communication is great even after the development. There hasn’t been a time when I’ve sent an email, and they don’t respond. They always make sure that we’re happy with what we have. I’m sure that they’ll continue doing that based on the experience I’ve had with them in the past 8–9 months.”
While actual results from the ML tool’s usage remain to be seen, the company expects predictions to be 100% accurate.
In the end, the customer was highly impressed with our experts’ responsiveness, exceptional services, & project management approach.
Check out the carousel above to learn more about what it is like to work with us.
Follow @Maruti Techlabs for more insights.
#customerfeedback #clienttestimonial #customerexperience #clientreview
Clutch Review: Custom App Development for Transportation Company
Software development is a notoriously tricky task with tons of risks to overcome and lots of stress if you have to meet inflexible deadlines.
It requires months of effort in developing & deploying the right software product, but what if it doesn’t work out for you in the end?
That’s exactly what happened with our client after they’d spent months on product development. They had a half-cooked ride-hailing app and didn’t really have a reliable partner to work with.
Our goal was to pick up where their previous partner left off, and deliver the complete product while keeping budget and GTM timelines in mind.
Our engineering team made sure we kept our word with congruous & impeccable delivery.
It is always pleasant to get customers’ compliments for all the efforts by every person in the chain to achieve this success.
Here’s what the client had to say about working with us:
“Their communication skills were at 100% for us from all levels of their company. They were always on time, always precise, and we really appreciated the professionalism with which they approached all of their work with us.”
This is what motivates us.
Take a look at the carousel below to learn more about what it is like working with us.
Follow @Maruti Techlabs for more insights.
#clientreview #customerfeedback #clienttestimonial #customerexperience
Clutch Review: Custom Software Dev for Media Planning Company
In our 12 years as a digital product development company where we guide our clients on their digital transformation journey, we often get asked where we get the most satisfaction.
For us, the answer will always be whenever a client provides positive feedback & praises our services.
This means that they had the confidence in our ability to trust us with their business challenges & saw the value in what we have achieved together.
Each Maruti Techlabs team takes pride in high-quality work, which reflects our solid technical skill set, commitment to the client's vision, company values & processes, & more than decade-long expertise.
We're responsive, attentive, & always put our clients at the center of everything we do.
Don't take our word for It. Hear what our client has to say about working with us:
"Our collaboration feels like a partnership, and it works really well. They're reliable. Maruti Techlabs is one of the few providers I've worked with that estimates a timeline on a given task & actually delivers within it. That's a rare quality among developers. It allows me to trust the timeline & work accordingly."
The goal was to automate the media management ecosystem.
This means eliminating errors, ensuring compliance & enabling strategists to have complete control & visibility of each of their advertising & media campaigns.
Maruti Techlabs was roped in to help go from idea to MVP to scaling the entire product end to end - essentially the entire functionality of the company's systems.
Please go through the carousel above to learn more about what it is like working with us.
Link to the complete review on Clutch.co in the comments below ⬇️
Follow Maruti Techlabs for more such insights.
#feedback #work #customerexperience #team #clientreview #clienttestimonial #clientfeedback
Clutch Review: Improved Chatbot Development for Cloud Communications Firm
There are plenty of companies to choose from. Finding the right one you can count on and forge a lasting relationship with is quite an arduous task.
What gets you up in the morning?
Apart from the morning coffee, ours is IMPACT.
Our clients appreciate our hard work all across the globe. We have had a fantastic journey since our inception in 2009 & have received lots of client testimonials.
There's nothing like a customer's compliment to validate all the hard work put in by every person in the chain. Hear what our client has to say about working with us:
"They are much more accommodating than a lot of other companies that we have dealt with. On top of that, they delivered the project on time regardless of the very tough circumstances we were experiencing, which was a huge benefit for a lot of people involved in the project."
The partnership's goal was to build & deploy a multi-channel platform that would be a prominent part of their communications product line.
The project has been successful so far, delivering on all engineering requirements. The client is pleased with the quality & even more so with the professionalism demonstrated by the Maruti Techlabs team.
The result was that it proved to be a massive value addition to their existing product line and helped them in building valuable features for both themselves & their clients.
This is why we do what we do.
Go through the carousel above to learn more about what it is like working with us.
Follow Maruti Techlabs for more insights.
#feedback #work #customerexperience #team #clientreview #clienttestimonial #clientfeedback
Clutch Review: Web & Software Development for Data Analytics Company
A certain rush comes with adding a new customer to your company.
Months of efforts in creating and defining value propositions and effectively communicating with the right messaging leads to the signing of a new customer.
This is followed by our engineering teams making sure they live up to the reputation through consistent and seamless delivery.
NOTHING beats the rush when all the efforts made by every single person in the chain are validated by the customer's feedback.
Here's what one of our customers in the Data Analytics space has to say about working with us so far -
"They're incredibly good at owning a complete piece of work rather than just providing labour. Their project management skills are exceptional, and it's one of the key reasons why they're so successful at what they do — they meet the deadlines, and they deliver what they promise."
In the end, the internal stakeholders were particularly impressed with the team's field expertise, exceptional approach to project management, & timeliness.
This is why we do what we do.
Go through the carousel above to learn more about what it is like working with us.
Follow Maruti Techlabs for more insights.
#feedback #work #customerexperience #team #clientreview #clienttestimonial #clientfeedback
Top 8 Deep Learning Frameworks
As of today, both Machine Learning, as well as Predictive Analytics, are imbibed in the majority of business operations and have proved to be quite integral.
However, it is Artificial Intelligence with the right deep learning frameworks, which amplifies the overall scale of what can be further achieved and obtained within those domains.
Given that deep learning is the key to executing tasks of a higher level of sophistication, building and deploying them successfully proves to be quite the herculean challenge for data scientists and data engineers across the globe.
Today, we have a myriad of frameworks at our disposal that allows us to develop tools that can offer a better level of abstraction along with simplification of difficult programming challenges.
Each framework is built in a different manner for different purposes.
Here, we look at some of the top 8 deep learning frameworks (in no particular order) for you to get a better idea on which framework will be the perfect fit or come handy in solving your business challenges.
Link to the complete article ⬇️
https://marutitech.com/top-8-deep-learning-frameworks/
Follow @Maruti Techlabs for more such insights.
#ai #machinelearning #ml #deeplearning #bigdata
4 Low Code/ No Code Statistics That You Cannot Miss in 2021
Software development is slow & expensive as it is complex & requires hiring technical resources.
Furthermore, most large-scale IT projects fail as demonstrated by numerous studies.
Businesses are starting to take advantage of low-code platforms to develop & deploy apps by reducing the pressure on their IT teams by minimizing hand-coding & code to be maintained.
With a low-code development platform, businesses can automate time-consuming manual coding processes & speed up their app delivery.
However, not all #business problems are suitable for low code: simple, business-driven projects are a good starting point.
According to @OutSystems, accelerating #digitaltransformation is the top reason most IT leaders chose a low-code platform, with 69% focusing on finishing the work of digital transformation.
Interested in knowing whether Low-Code No-Code is the future of software development? Link to the complete article in the comments below ⬇️
#lowcode #nocode #coding #softwaredevelopment #technology
9 Insightful Facts about Artificial Intelligence We Bet You Didn’t Know!
Artificial intelligence (AI) has received immense recognition in the past years, especially in the #COVID-19 scenario. There is a buzz in the tech industry around AI & its developments.
If you have ever talked with Siri, precisely searched for a film or show on @Netflix, or asked Siri the temperature, you have interacted with AI.
The primary purpose of #artificialintelligence is for humans or businesses to have a machine that thinks faster & more efficiently.
But the question becomes, in this process, will advancements in #technology take over the world? Will it help humankind reach the highest potential or destroy it in the process?
@PwC predicted that the global GDP could rise by 14% as a result of AI-powered activities by 2030, which is equal to US$15.7 trillion.
Let us have a look at 9 Insightful Facts about Artificial Intelligence We Bet You Didn’t Know!
Grab a free ebook on how Artificial Intelligence could help revolutionize industries? Link is in the comments below ⬇️
Follow @Maruti Techlabs for more such insights.
#ai #machinelearning #ml #deeplearning #bigdata
How do Recommendation Engines work?
Recommendation engines analyze user data like purchase history and preferences to recommend additional products or content. They typically collect, store, analyze, and filter data in four phases. There are three main types of recommendation engines: collaborative filtering based on user similarity; content-based filtering based on item descriptions and user profiles; and hybrid systems that combine algorithms. Recommendation engines are used by ecommerce sites, streaming services, and other applications to enhance sales and deliver personalized experiences.
12 Trends That Will Define The Future Of Mobile Application Development
It is predicted that there are 7 billion mobile users around the world in 2021. It’s projected that this figure will continue to rise as technology becomes more accessible each passing day. Mobile phones have integrated into our lives seamlessly over the past decade.
Regardless of your industry, the mobile application development industry has been genuinely altering and redefining business for quite a while now. Almost every company needs to amalgamate the latest mobile app development trends and extend its marketing strategy to gain traction towards optimum growth and reach its targeted market effectively.
Kodak, Compaq, Blockbuster Video – what do these companies have in common? Despite being widely popular in the past, they failed to keep up with technology and, therefore, ended up closing or selling out. All this at a time when technology was not changing as fast as it is today. Technology truly is in a constant state of flux. When businesses fail to keep up, they usually tend to go the Blockbuster way.
The only way to stand out in such an environment is through constant innovation. Whether you are a developer or a business with a mobile app, you must be updated with the latest mobile app trends. Without incorporating these trends into your apps, your mobile might become obsolete
Apps are being developed faster than ever to meet the rising demand for new content. Consumers today expect services to come with apps with friendly, clean user interfaces. The presentation of your brand through your app can go a long way with the tech-savvy customers of today.
The future of mobile app development lies in apps that load fast, hold less memory, but are feature-rich. Instant apps do all of this.
Some examples of Instant apps are @Hollar, @The New York Times Crossword & @Wish.
Mobile app development is a continually evolving field that is at the forefront of #innovation. These cutting-edge technologies also need experienced & talented mobile app developers for implementation.
Let’s look at the emerging trends in mobile application development that you must keep an eye out for.
Link to the complete article in the comments below ⬇️
Follow @Maruti Techlabs for more such insights.
#mobile #application #development #future
Top 13 Chatbot Trends of 2021
Given the many advantages of chatbots, rising chatbot trends, and the ever-increasing popularity of machine learning (ML) and artificial intelligence, adopting new technologies has become business-critical.
In a rapidly maturing conversational AI market, haphazardly put chatbots will vanish. Only the ones that are strategically developed and implemented across channels shall survive.
Across all digital platforms, millions of users will prefer voice-enabled conversational AI to interact with an enterprise. Such is the future of chatbots. Moreover, various chatbot applications will no longer remain siloed.
Businesses would be able to create an intranet of chatbots that can share information and work together seamlessly. In the meantime, chatbots will continue to boost user engagement and enhance customer support.
According to #research by @Deloitte, chatbots are projected to save almost $8 billion annually for businesses by 2022.
Many companies like @MakeMyTrip & @Yatra Online Pvt Ltd already use certain chatbot features to send flight and stay tickets directly to Whatsapp and the details via SMS.
Here are the top 13 chatbot trends in 2021 that you should consider embracing:
Link to the complete article in the comments below ⬇️
Follow @Maruti Techlabs for more such insights.
#Chatbot #digitaltransformation #AI #ML
Chatbot Statistics 2021 You Cannot Afford To Miss!
The document discusses statistics and predictions about the growth and use of chatbots between 2021 and 2025. It predicts that the global conversational AI market will grow significantly in this period, reaching $13.9 billion by 2025. It also outlines specific predictions for each year regarding increased spending on chatbots, cost savings for businesses, and the growing role of automation and AI in customer interactions.
Top 9 Use Cases for Human Resources Automation
Robotic Process Automation (RPA) is a relatively recent technology that has fundamentally changed the way we think about routine and repetitive operations. Deloitte’s recent survey results confirmed that more than 74% of respondents are open to engaging with upcoming technologies in the near future, with almost 22% of them have already tried or implemented Robotic Process Automation.
Human resources automation using RPA will allow organizations to automate transactional processes so that the HR team can focus on more strategic and meaningful responsibilities. It will enable redirection of time and resources on more productive activities such as giving face time to your employees or conflict resolution.
RPA in HR operations focuses on micro-tasks, allowing it to integrate all of the processes and programs that the old systems were unable to handle effectively. This is done by running a software code that performs repetitive and high-volume operational activities on behalf of the HR work staff.
The operations that it covers range from hiring new employees, processing payroll, and evaluating benefits to creating compliance reports that are all very time-consuming and labor-intensive. RPA adds accuracy and speed to data processing and can be instrumental in cutting down HR-related costs. The benefits of RPA in HR can revolutionize the industry by enhancing work efficiency and improving ROIs.
The scope and RoI of RPA are continuously growing, and it is no longer restricted to certain aspects of a business. Human resources automation leads to increased accuracy, considerable labor savings, and faster processing times, resulting in happier workers and customers.
RPA provides firms and their HR departments with a slew of distinct and quantifiable advantages. Some prominent use cases are discussed here.
Link to the complete article in the comments below ⬇️
Follow @Maruti Techlabs for more such insights.
#RPA #humanresources #digitaltransformation #management
11 Reasons Why You Too Need To Outsource Mobile App Testing
The document outlines 11 reasons why outsourcing mobile app testing works best. It argues that outsourcing testing ensures quality apps while saving time and costs. Outsourcing provides cost-effectiveness, process efficiency, faster results, QA automation, code confidentiality, scalability, timeline maintenance, focused operations, and autonomous testing results. Outsourcing mobile app testing can help businesses overcome challenges and improve final product quality.
Artificial Intelligence and Machine Learning in the Insurance Industry
The insurance industry is facing tumultuous times with #technology shaping the way it operates.
Chatbots are employed in various industries today & pose massive opportunities for the insurance industry.
According to a report by @Business Insider, four top messenger apps have a combined user base of more than 3.5 billion, exceeding the combined user base of four largest social networks.
Machine learning capabilities are already being used in the insurance space in the form of automated policy writing.
Today, insurers are customizing rates for individuals based on their specific #data & historical records. AI is helping them achieve this scale of personalization.
AI is a critical factor of success for companies in the insurance industry & companies can leverage technology for fraud detection, claims #management, #analytics, & customer experience.
Insurance companies are also able to bundle services & products for each user separately, given the demand & use of services for them.
Since sales & marketing departments get better visibility of customer interests & insights on buying behaviour, they can sell according to buyer intention.
Link to the complete article in the comments below ⬇️
#ML #AI #artificialintelligence #machinelearning #insurance
6 Driving Factors Behind NLP in Healthcare
The healthcare industry is fast realizing the importance of data, collecting information from EHRs, sensors, and other sources. However, the struggle to make sense of the data collected in the process might rage on for years.
Since the healthcare system has started adopting cutting-edge technologies, there is a vast amount of data collected in silos. Healthcare organizations want to digitize processes, but not unnecessarily disrupt established clinical workflows.
Therefore, we now have as much as 80 percent of data unstructured and of poor quality. This brings us to a pertinent challenge of data extraction and utilization in the healthcare space through NLP in Healthcare.
This data as it is today, and given the amount of time and effort it would need for humans to read and reformat it, is unusable. Thus, we cannot yet make effective decisions in healthcare through analytics because of the form our data is in.
Therefore, there is a higher need to leverage this unstructured data as we shift from fee-for-service healthcare model to value-based care.
This is where Natural Language Processing, a subcategory of Artificial Intelligence can come in. NLP based chatbots already possess the capabilities of well and truly mimicking human behavior and executing a myriad of tasks.
When it comes to implementing the same on a much larger use case, like a hospital – it can be used to parse information and extract critical strings of data, thereby offering an opportunity for us to leverage unstructured data.
NLP has found applications in healthcare ranging from the most cutting-edge solutions in precision #medicine applications to the simple job of #coding a claim for reimbursement or billing.
According to @MarketsandMarkets, the global NLP in healthcare market size will grow from USD 1.5 billion in 2020 to USD 3.7 billion by 2025, at a CAGR of 20.5% during the forecast period.
With NLP getting more & more traction in healthcare, providers are focusing on developing solutions that can understand, analyze, & generate languages that humans can understand
There is a further need for voice recognition systems that can automatically respond to queries from patients & healthcare users.
With conversational #AI already being a success within the healthcare space, a key use-case of implementing NLP is the ability to help patients understand their symptoms & gain more knowledge about their conditions.
Link to the complete article in the comments below ⬇️
#NLP #healthcare #HealthTech #digitalhealth
More from Maruti Techlabs (20)
Maruti Techlabs engages in strategic partnership with IBM
Maruti Techlabs engages in strategic partnership with IBM
Maruti Techlabs Recognized as India's Growth Champion 2022
Maruti Techlabs Recognized as India's Growth Champion 2022
Clutch Review: Decision Support Tool Dev & Design for Oil & Energy Company
Clutch Review: Decision Support Tool Dev & Design for Oil & Energy Company
Machine Learning Prediction Tool for Auto Parts Manufacturer
Machine Learning Prediction Tool for Auto Parts Manufacturer
Clutch Review: Custom App Development for Transportation Company
Clutch Review: Custom App Development for Transportation Company
Clutch Review: Custom Software Dev for Media Planning Company
Clutch Review: Custom Software Dev for Media Planning Company
Clutch Review: Improved Chatbot Development for Cloud Communications Firm
Clutch Review: Improved Chatbot Development for Cloud Communications Firm
Clutch Review: Web & Software Development for Data Analytics Company
Clutch Review: Web & Software Development for Data Analytics Company
4 Low Code/ No Code Statistics That You Cannot Miss in 2021
4 Low Code/ No Code Statistics That You Cannot Miss in 2021
9 Insightful Facts about Artificial Intelligence We Bet You Didn’t Know!
9 Insightful Facts about Artificial Intelligence We Bet You Didn’t Know!
12 Trends That Will Define The Future Of Mobile Application Development
12 Trends That Will Define The Future Of Mobile Application Development
Chatbot Statistics 2021 You Cannot Afford To Miss!
Chatbot Statistics 2021 You Cannot Afford To Miss!
11 Reasons Why You Too Need To Outsource Mobile App Testing
11 Reasons Why You Too Need To Outsource Mobile App Testing
Artificial Intelligence and Machine Learning in the Insurance Industry
Artificial Intelligence and Machine Learning in the Insurance Industry
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Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar
How to Get CNIC Information System with Paksim Ga.pptx
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
GridMate - End to end testing is a critical piece to ensure quality and avoid...
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Epistemic Interaction - tuning interfaces to provide information for AI support
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Communications Mining Series - Zero to Hero - Session 1
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
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FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
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Full-RAG: A modern architecture for hyper-personalization
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How do Recommendation Engine work and what are its advantages?
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- 8. INSIGHTFUL, RIGHT? DO YOU KNOW SOMEONE WHO NEEDS TO SEE THIS? Save this post for the future!