Trending December 2023 # Top Ai Conferences And Summits In 2023, Providing Global Platform To Innovation # Suggested January 2024 # Top 16 Popular

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The AI conferences and summits that happen all across the world offer an auspicious opportunity to tech enthusiasts to make new contacts in the field of artificial intelligence. The event spans the various workshops, conferences, keynote speeches and exhibitions of latest technologies by emerging vendors that enlighten the analytical thinking of industry-people. It brings together experts, leaders, researchers, scholars, professors from various scientific fields to interact and exchange ideas while providing an insightful understanding of the issues arising around artificial intelligence technologies. As the industry expects Artificial Intelligence to take a great leap in the upcoming years, several AI events have been lined up to provide a global platform for ideas to grow. Here is the list of 10 upcoming AI events for 2023.  

Date: 16 January 2023 Location: New Delhi, India Description: India’s Largest Platform for innovators, the AICRA The Global AI Summit organized by AICRA, is one of the largest India platforms for the exchange of deep actionable insights into the world of Artificial Intelligence and its impact on businesses. The event invites delegates and exhibitors from all across the world to witness the largest summit on Artificial Intelligence, and immerse themselves in the rich experience of Insightful Discussions and Mind-Opening talks delivered by subject matter experts and Industry Leaders.  

Date: 21-23 January, 2023 Location: Cambridge, MA Description: Organized by MIT, it is the first edition of the Artificial Intelligence Latin America SumMIT to be held at MIT’s Media Lab from January 21-23, 2023. The event seeks to bring together leaders from government, industry, academia, and the non-profit sector from across Latin America and the Caribbean in order to identify opportunities and risks their countries might face while moving towards the increasing adoption of Artificial Intelligence technologies.  

Date: 23-26 January, 2023 Location: Seattle, WA Description: AI NEXTCon is an event for developers and by developers. It is one of the largest Artificial Intelligence community-driven technology events organized specially for tech engineers, developers, data scientists to share, learn, and practice AI technology and how applying AI to solve engineering problems. The event is a venue for inspirational keynotes, deep-dive tech talks, hands-on workshops, tools/framework live demo, networking opportunities with like-minded developers.  

Date: 19-21 February, 2023 Location: Fukuoka, Japan Description: The second International Conference on Artificial Intelligence in Information and Communication will take place at Takakura hotel, Fukuoka, Japan. It will be organized by the Korean Institutes of Communications and Information Sciences (KICS) in technical sponsorship with the IEEE, IEEE Communications Society, IEICE Communications Society, and Springer. The event’s patrons span ETRI, Institute of Information and Communication Technology Promotions, Samsung Electronics, LG and significant others.  

Date: 15-18 March, 2023 Location: San Jose, CA Description: At the O’Reilly Artificial Intelligence Conference, tech enthusiasts will get a deep understanding of new and emerging tools, an awareness of the potential risks (and the means to combat them), a detailed look at the use cases with the best ROI, and the opportunity for them—and their entire team—to ramp up the skills they need for enterprise-wide Artificial Intelligence implementations.  

Date: 13-14 May, 2023 Location: Berlin, Germany Description: The annual event of ‘Rise of AI conference’ has been connecting 2,000 AI experts, decision-makers, opinion-leaders, and game-changers to discuss Artificial Intelligence for society, politics, and economy, for six years now. Its main stage will address the most challenging questions around the future of AI and its impact on society and through its Applied AI Stage, people can learn how to use Artificial Intelligence to increase their companies’ revenue, reduce costs and strengthen their market leadership.  

Date: 26-28 May, 2023 Location: Luleå, Sweden Description: The Industrial AI Conference majorly focuses on Data mining – technologies & methodologies, Big Data Analytics, Text Analytics, Advanced Context customization and visualization, Simulation capability, Understanding the real-world constraints, Broad casting new technologies & methodologies and etc. The event is expected to take place at Clarion Hotel Sense, Luleå in Sweden.  

Date: 8-10 June, 2023 Location: Kings Cross, London Description: The event of CogX which is also considered as the festival of AI and Emerging Technology features varied speakers from the industry, government, and academia to introduce a well-structured perspective on Artificial Intelligence to their stages. The three-day event also covers a major expo that will provide AI startups an opportunity to display and discuss their work.  

Date: 3-4 September, 2023 Location: London Description: Intelligent Systems Conference or IntelliSys is a leading conference that primarily focuses on computer science particularly machine learning. The event tracks will also include artificial intelligence, machine vision, robotics, and ambient intelligence with AI topics covering everything from deep learning to biometrics.  

Date: 12-13 November, 2023 Location: Seattle

The AI conferences and summits that happen all across the world offer an auspicious opportunity to tech enthusiasts to make new contacts in the field of artificial intelligence. The event spans the various workshops, conferences, keynote speeches and exhibitions of latest technologies by emerging vendors that enlighten the analytical thinking of industry-people. It brings together experts, leaders, researchers, scholars, professors from various scientific fields to interact and exchange ideas while providing an insightful understanding of the issues arising around artificial intelligence technologies. As the industry expects Artificial Intelligence to take a great leap in the upcoming years, several AI events have been lined up to provide a global platform for ideas to grow. Here is the list of 10 upcoming AI events for 2023.16 January 2023New Delhi, IndiaIndia’s Largest Platform for innovators, the AICRA The Global AI Summit organized by AICRA, is one of the largest India platforms for the exchange of deep actionable insights into the world of Artificial Intelligence and its impact on businesses. The event invites delegates and exhibitors from all across the world to witness the largest summit on Artificial Intelligence, and immerse themselves in the rich experience of Insightful Discussions and Mind-Opening talks delivered by subject matter experts and Industry Leaders.21-23 January, 2023Cambridge, MAOrganized by MIT, it is the first edition of the Artificial Intelligence Latin America SumMIT to be held at MIT’s Media Lab from January 21-23, 2023. The event seeks to bring together leaders from government, industry, academia, and the non-profit sector from across Latin America and the Caribbean in order to identify opportunities and risks their countries might face while moving towards the increasing adoption of Artificial Intelligence technologies.23-26 January, 2023Seattle, WAAI NEXTCon is an event for developers and by developers. It is one of the largest Artificial Intelligence community-driven technology events organized specially for tech engineers, developers, data scientists to share, learn, and practice AI technology and how applying AI to solve engineering problems. The event is a venue for inspirational keynotes, deep-dive tech talks, hands-on workshops, tools/framework live demo, networking opportunities with like-minded developers.19-21 February, 2023Fukuoka, JapanThe second International Conference on Artificial Intelligence in Information and Communication will take place at Takakura hotel, Fukuoka, Japan. It will be organized by the Korean Institutes of Communications and Information Sciences (KICS) in technical sponsorship with the IEEE, IEEE Communications Society, IEICE Communications Society, and Springer. The event’s patrons span ETRI, Institute of Information and Communication Technology Promotions, Samsung Electronics, LG and significant others.15-18 March, 2023San Jose, CAAt the O’Reilly Artificial Intelligence Conference, tech enthusiasts will get a deep understanding of new and emerging tools, an awareness of the potential risks (and the means to combat them), a detailed look at the use cases with the best ROI, and the opportunity for them—and their entire team—to ramp up the skills they need for enterprise-wide Artificial Intelligence implementations.13-14 May, 2023Berlin, GermanyThe annual event of ‘Rise of AI conference’ has been connecting 2,000 AI experts, decision-makers, opinion-leaders, and game-changers to discuss Artificial Intelligence for society, politics, and economy, for six years now. Its main stage will address the most challenging questions around the future of AI and its impact on society and through its Applied AI Stage, people can learn how to use Artificial Intelligence to increase their companies’ revenue, reduce costs and strengthen their market leadership.26-28 May, 2023Luleå, SwedenThe Industrial AI Conference majorly focuses on Data mining – technologies & methodologies, Big Data Analytics, Text Analytics, Advanced Context customization and visualization, Simulation capability, Understanding the real-world constraints, Broad casting new technologies & methodologies and etc. The event is expected to take place at Clarion Hotel Sense, Luleå in Sweden.8-10 June, 2023Kings Cross, LondonThe event of CogX which is also considered as the festival of AI and Emerging Technology features varied speakers from the industry, government, and academia to introduce a well-structured perspective on Artificial Intelligence to their stages. The three-day event also covers a major expo that will provide AI startups an opportunity to display and discuss their work.3-4 September, 2023LondonIntelligent Systems Conference or IntelliSys is a leading conference that primarily focuses on computer science particularly machine learning. The event tracks will also include artificial intelligence, machine vision, robotics, and ambient intelligence with AI topics covering everything from deep learning to biometrics.12-13 November, 2023SeattleThe ‘AI for Good Summit’ will be organized by industry leader and events company Re-work in Seattle next year. The company will host different summits and workshops around the world focusing on bringing together AI experts, executives, data scientists, and like-minded people from a wide variety of industries. The summit will highlight AI innovation, trends, and more. Its significant previous attendees include Amazon, Google, Samsung, and Microsoft.

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Financial Services Crm Marketing Innovation In 2023

Discover the latest trends and innovations in customer relationship management to truly integrate your financial services CRM marketing

From account opening, saving money, investing, to foreign currency exchange, financial services marketing leaders are looking to create a user-centric digital environment to respond to users’ expectations. Financial services CRM today means providing customers with more innovative and complete financial services with partners from different industries, including telecom companies, FinTech start-ups, and insurance companies.

Financial services companies have often perceived the strength of digital purely as an acquisition channel. As customer relationships have become more complex, the growth of new distribution channels has increased combined with the exponential growth of new technology means financial services CRM marketing is more important than ever, for both customer acquisition and retention and lifetime value.

Larger financial brands also understand as their historic dominance is continually being squeezed by startups such as FinTechs focusing on retention can drive up to 4/5 times more value than new customers and thus a robust financial services CRM plan is vital for these brands in maintaining market positioning and driving sales growth.

Determining where the latest financial services marketing trends and innovations fall within the customer lifecycle is crucial if you want to delight your customers at every step of their purchase and repeat-purchase journey. That’s why our financial services trends 2023 report structures 9 top sector trends across our popular RACE Framework of reach, act, convert, and engage.

As we will explore below, CRM is a key conversion tactic right now. That means you can expect your conversion to grow by implementing the marketing tools and techniques we cover in this blog. But, conversion alone is not enough to build a strong marketing strategy for your financial services business. You will need to also consider your reach, interaction, and engagement strategies to build a successful marketing funnel.

Download our free report to discover my full 9 recommendations for your financial services business across all the key touch points in your customers’ journeys. Integrated across the RACE Framework, our marketing solutions empower marketers across the globe to apply a data-driven, customer-centric approach to their marketing structure

Financial Services marketing trends 2023

Accelerate your growth in 2023 with trends, examples, and practical strategy integrated with our RACE Framework

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How has CRM evolved in the financial services sector? Creating a single view of the customer

CRM for financial services firms is about creating a data-driven single view of the customer. This means having access to a single view of all customer interactions, communications, and experiences, across every channel and touchpoint. This can be a very costly and time-consuming process, and many businesses are still in the early stages of maturity when it comes to having a CRM program that is fully integrated with all business channels and datasets.

CRM retargeting helps to build online audiences with only an email address or postal address, it works in partnership with publisher networks who securely match anonymous email or mailing addresses. It’s also available through Google Customer Match and customer lists in Facebook Custom Audiences.

Reducing information isolation through Open Banking

In the past, customers needed to repeatedly fill out application forms when they applied for different financial services. To save time for customers, using an open API to transfer customers’ information between different partners and help customers fill out forms automatically will improve the experience. Once customers have successfully completed this process they will no longer need to fill out forms when they apply for other financial services.

The growth of Open Banking applications is shown by nearly 50 consumer-facing applications from aggregators to investment tools listed here.

For example, Taishin Bank’s Richart App was developed as an open banking platform, which integrates all the services that customers need in one place. They knew that customers in Taiwan usually have 5 or 6 different accounts to manage different services such as insurance, foreign currency, investment, etc. but with their app Richart, they only needed one account.

This sophisticated financial services CRM process means customers no longer need to memorize several different accounts and passwords. In addition, they are able to manage and keep track of different financial products in one App and one account.

Financial Services marketing trends 2023

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Financial services CRM integration across all channels to create omnichannel customer contact strategies

Financial services CRM systems that combine digital, mobile, and social data alongside traditional touchpoints are rapidly outstripping those that don’t. A priority for financial services organizations is for all key marketing activities to be integrated across channels. This can create channel conflict so many firms have created their own CRM teams.

The need for integration to give a managed, measured approach across all touchpoints is suggested by this example of a customer onboarding sequence for a bank.

If we return to the Taishin Bank example, it has also extended the Richart App connect to LINE, the most popular instant messaging APP in Taiwan, allowing more than 6 million customers to enjoy its financial services more easily and conveniently. This means that customers can now enjoy financial service to check their transactions and reach out to Richart customer service through a common channel they use every day without logging into the banking App.

It is the combination of offering competitive and integrated products through the Richart App, that has attracted more than 1,400,000 applications for Richart’s saving accounts – more than 70% of them are aged 35 or under, and more than 74% of them are first-time customers for Taishin Bank.

As such, Richart has become the most popular digital bank in its market with over 95 % of its customers showing high satisfaction and strong willingness to continuously use Richart and recommend it to their friends.

Increased use of Big Data systems in the financial services sector

The role of data in facilitating the segmentation and personalization of communications and experiences cannot be understated. It is not enough to simply have a multitude of datasets on customers. There is much research to show that many organizations are overwhelmed by the volume of incoming customer data.

Even if financial services organizations have implemented the most sophisticated CRM infrastructure, the data must be able to pass between the various channels and technology platforms, and across all aspects of the business.

In order to successfully compete for customers, organizations require a holistic view of their customers. This requires data and a focus on shifting behaviors according to customer data.

“Companies need to shift their culture to focus on ‘data hygiene practices and to fix archaic processes of saving and storing customer data in different ways. In our CRM transformation, we realized that its success would ultimately boil down to the ubiquitous availability of accurate and detailed data.”

“This would require a behavioral shift across the company. No longer could offline data be an acceptable practice. Nor could we have individuals in marketing, sales, services, and supply chain storing and tracking data inconsistently. Change is never easy, but it gave us a 360-degree view of customers across Hitachi Vantara and is a significant business opportunity for our sales teams if they are reporting and analyzing accurate data trends.”

– Renée McKaskle, CIO, Hitachi Vantara

Maria Mellegers – Palaiologos, Vice President adoption lead of Barclays, showed Barclay’s SmartBusiness Insights dashboard for SMB customers.

58% of SMEs base more than half of their regular business decisions on gut feel or experience rather than being driven by data and information. On average, businesses only use 50% of all information available to make decisions.

The life span of a product has shrunk by 400% in the last few years – it’s not about what you offer but how you offer it. Barclays SmartBussiness is aimed at providing data-driven information to help SMEs make the right decisions. It has been curated with over 1 million sources of data from businesses that bank with them and is easy to use.

With the new Barclays SmartBusiness Insights easy-to-use dashboard, customers are able to identify patterns through clean data filters to see what is necessary without being overloaded with data they don’t need.

SmartBusiness provides local insights based on average transaction value, the average wage in your area, industry turn over, etc. This helps contextualize data for SMEs, providing spend and performance data and customer dynamics.

Although this doesn’t directly impact marketing financial services, this shows innovation in FS is vital in keeping customers and integrating solutions based on customers’ pain points. From a business point of view, Barclays is able to help its SME account holders and drive engagement with content.

According to a Gartner report, customer experience (CX) projects are 50% about technology, with the remaining 50% about customer emotion, perception, and related qualitative factors. In order to achieve CX success, organizations need to adopt a broad view of their stakeholders.

This is where our RACE Framework can transform your approach to digital marketing, with the ability to break down each of your customer’s touchpoints to plan, manage, and optimize your channels and platforms to achieve your goals of reach, act, convert, and engage, accordingly.

Maintaining CRM applications and capabilities is a must for financial services organizations, but taking a broader view of how technology can influence customer perceptions through customer experience is the key to sustaining a long-term customer. Keep up to date with the latest trends and innovations for 2023 with our financial services report.

Financial Services marketing trends 2023

Accelerate your growth in 2023 with trends, examples, and practical strategy integrated with our RACE Framework

Get Started Today

Quantum computing for the financial services industry

An exciting technology trend that is gathering momentum in the analysis of super datasets is the use of quantum computing. In late 2023, a Bank of America strategist said quantum computing would be “as revolutionary in the 2023s as smartphones were in the 2010s.”

Some in the banking industry believe that quantum computing is more science fiction than fact and that there is more to serving clients than computational speed and agility. Still, quantum computing increasingly appears to be a game-changer in tackling complex or intractable problems, particularly in the optimization area.

Many financial industry participants rely on computing power to improve decision-making and serve customers better. Over the next few years, quantum computing is likely to supercharge these activities. To be sure, this will be a long road, and most banks are taking their first steps.

Effective financial services CRM is vital

While IT plays a vital role in CRM choice and implementation, it should be driven by a strategic management perspective from the Board. Too often, companies seek to build CRM capabilities by designing a powerful IT system without considering wider business issues. But, an effective financial services CRM must also integrate all the business’ channels and platforms from a marketing perspective.

A fully integrated customer relationship management solution is the most powerful tools financial services firms can deploy to enable them to provide better service and grow revenues from customers.

– Rebecca Allsop, Head of Customer Strategy and Planning, Skipton Building Society

Top 10 Failing Ai Stocks That Recorded Over 50% Fall In 2023

Most AI stocks face strong headwinds, from high inflation and rising interest rates, here are the 10 of them

In this modern world, the rise of

Lemonade

Lemonade is reinventing the insurance business, including how consumers apply for coverage and get claims approved. Its first AI bot, “Maya”, can approve or deny applications in two minutes, while its other bot, “Jim”, can make decisions on payouts to customers in as little as three seconds. The company had a rough first quarter due to payouts related to the “Texas Freeze” — another reason why the stock is down 65% from the all-time high it hit in January.  

Riskified

As the hype from its July IPO has faded, Riskified has been hit hard. It’s now down 47% from its all-time high. Riskified uses AI to detect fraud in e-commerce transactions, and it has been effective at doing so. The company has a chargeback guarantee- if its platform approves a fraudulent order, it will cover the losses its client takes- and these losses are represented in its cost of goods sold.  

Upstart Holdings

Fintech lending platform Upstart Holdings, which uses artificial intelligence to evaluate borrowers’ creditworthiness, has also fallen victim to rising interest rates, with shares down more than 90% from their peak last October. Upstart crashed 56% in one day on May 10 when it reported earnings and cut its full-year revenue expectations to US$1.25 billion from US$1.4 billion.  

Affirm

Affirm, the buy-now, pay-later (BNPL) startup which offers interest-free pay schedules on some purchases and counts Peloton as its largest retail partner, has fared even worse this year. Its stock is down 81%. The fintech firm went public in January 2023 and has never been profitable, posting a net loss of US$54 million in the first quarter of the year, and Apple launched a BNPL service to directly compete with Affirm this month.  

Carvana Co.

Carvana Co., together with its subsidiaries, operates an e-commerce platform for buying and selling used cars in the United States. The company’s platform allows customers to research and identify a vehicle; inspect it using the company’s 360-degree vehicle imaging technology; obtain financing and warranty coverage, purchase the vehicle, and schedule delivery or pick-up from their desktop or mobile devices.  

Peloton

Peloton was one of the biggest winners of 2023 when work-from-home white-collar Americans bought its stationary exercise bikes and subscriptions in droves while gyms were closed during pandemic lockdowns. The stock rose almost sixfold from its September 2023 IPO at US$29 per share to a peak of US$167 in January 2023 after the company recorded its first two profitable quarters to wrap up 2023.  

Aurora

Aurora is delivering the benefits of self-driving technology safely, quickly, and broadly. Founded in 2023 by experts in the self-driving industry, Aurora is revolutionizing transportation – making it safer, increasingly accessible, and more reliable and efficient than ever before. Its flagship product, the Aurora Driver, is a platform that brings together software, hardware, and data services,  to autonomously operate passenger vehicles, light commercial vehicles, and heavy-duty trucks.  

GoodRx Holdings, Inc.

GoodRx Holdings, Inc., through its subsidiaries, offers information and tools that enable consumers to compare prices and save on their prescription drug purchases in the United States. The company operates a price comparison platform that provides consumers with curated, geographically relevant prescription pricing and access to negotiated prices through GoodRx codes that are used to save money on prescriptions across the United States.  

Asana

Asana helps teams orchestrate their work, from small projects to strategic initiatives. Headquartered in San Francisco, CA, Asana has more than 119,000 paying customers and millions of free organizations across 190 countries. Global customers such as Amazon, Japan Airlines, Sky, and Affirm rely on Asana to manage everything from company objectives to digital transformation to product launches and marketing campaigns.  

Wayfair

How To Become An Ai Engineer In 2023?

Are you ready to dive into the exciting world of AI engineering? AI is revolutionizing industries and transforming our daily lives, from self-driving cars to virtual assistants. But have you ever wondered what it takes to become an artificial intelligence engineer This article will equip you with the essential information to take the first steps on your AI journey. Are you ready to shape the future with AI? Let’s get started!

What is an AI Engineer?

Source: freelancermap

Skills and Educational Requirements for AI Engineers

To become an AI Engineer, certain skills and educational qualifications are necessary. Let’s break them down in a simple and easy-to-understand manner:

Technical skills

Educational Qualification: A background in Physics, Chemistry, and Mathematics at the school level provides a good foundation. At the graduation level, programming and math or statistics proficiency is essential.

Programming Languages: AI engineers should be skilled in R, Python, Java, and C++. They should also be familiar with relevant packages and libraries.

Mathematics and Statistics: A strong understanding of linear algebra, statistics, calculus, and probability is crucial for machine learning. Experience developing models, validating them statistically, and ensuring efficiency is important.

Applied Mathematics and Algorithms: Clear comprehension and practical application of algorithms and applied mathematics, including quadratic programming, Lagrange, gradient descent, convex optimization, and partial differential equations, are necessary.

Tools: AI engineers utilize big data tools like Hadoop, MongoDB, Apache Spark, and frameworks such as TensorFlow, PyTorch, and Keras. They also work with AI models like Hidden Markov, linear discriminant analysis, Naive Bayes, and Gaussian mixture models. Knowledge of natural language processing and neural networks is important.

Non-Technical Skills

Critical thinking, problem-solving, leadership, and decision-making skills are applied daily.

Creativity, collaboration, and business knowledge are desirable.

Effective communication, presentation, and prototyping abilities are valuable for conveying ideas and demonstrating expertise.

How to Become an AI Engineer?

Curate innovative and novel AI models and make APIs or Application interfaces from machine learning models 

Establish AI products and services

Automate the information required and utilized by the data science team 

Develop infrastructure for data feeding and transformation

Work on the results and statistical outputs and interpret the same for the benefit of the project and company 

Make models for connection between A/B data testing and HotJar

Participate in robotics development and train and modify the systems

Perform machine learning, deep learning and AI experiments and optimize the process.

Source: SketchBubble

Industries Leveraging AI Technology

AI finds proficient applications in multiple sectors. Easing the tasks and reaching humanly impossible to reach spaces, the technology is leveraged in industries and sectors like manufacturing, e-commerce, entertainment, food, healthcare, gaming and retail. 

Salary Prospects

AI engineers can enter the field with good knowledge and demonstrated skills at an approximate annual salary of INR 5 lakhs. The highly experienced individual must expect around INR 20 lakhs a year salary in India. On average, the expectations of an AI engineer must lie at INR 9 lakhs per annum. Candidates can expect an average additional cash compensation of INR 98.885. 

Growth opportunities are evident in numerous multinational companies. The works on sentient AI Google and other such opportunities would require more talented and skilled artificial intelligence engineers. 

Learning Resources and Online Courses

Offering a quality course, coupled with an introduction to a real-life aspect of the industry, we introduce AI and ML Blackbelt+ Program. It is a certified program packed with numerous intriguing features by one of the prominent platforms for AI learning. While focusing on the combined power of machine learning, data science and deep learning, the candidates are certain to gain industry-relevant AI skills. Comprising more than 14 courses and greater than 25 real-life projects, the candidates will be proud to have demonstrated hands-on experience. The 18 personalized mentorship sessions guide you to the right path per your desires. Covering in-demand tools, we provide access to blogs, tutorials, and forums for AI enthusiasts. 

Frequently Asked Questions

Related

Best Ai Photo Editors For Iphone And Ipad In 2023

1. YouCam Perfect – Editor’s Choice

Recognized as one of the best picture editing apps, YouCam Perfect has everything your selfie-queen self will love. The app boasts an impressive collection of editing and beautifying tools that can add extra stars to your perfect pictures. Surprisingly, you can find everything – face beautification, teeth whitening, filters, visual effects, frames, and stickers – in this app!

Pros

Instant beautification tools 

Easy social media sharing 

Cloud storage gives easy access 

Multiple filters and templates 

Cons

Price: Free (In-app purchases start at $5.99) 

Download 

You can play with a wide range of intuitive filters to capture eye-pleasing AI selfies and avatars. Further, you can pick filters and effects that suit your aesthetics. Once captured, improve your pictures with AI Enhance tools or by adding digital art. For instance, you can hide blemishes, apply makeup, change eye and hair color, whiten teeth or sneakers, and other upgrades.   

Furthermore, you can edit and change the surroundings or background intruding on your pictures using Facetune’s professional editing tools. Shine like a superstar in your images by adjusting the lighting and blurring out all the unnecessary objects, even your photobomber friends. There is a ring light eye feature as well for Instagram influencers. It’s your perfect pick, fellas.   

Pros

Customizable editing tools 

Hides facial imperfections 

Fun filters to experiment  

Blurs unwanted backgrounds or objects 

Cons

Issues with saving edits 

Price: Free (In-app purchases start at $5.99) 

Download 

3. Picsart AI – Edit photos or doodle like a pro

Picsart shines as one of the most coveted photo and video editing apps for iPhone and iPad users. The app houses an impressive cluster of AI filters that convert all your simple-looking pictures into artistic creations. Revamp your photos with trendy animations, effects, stickers, and filters. With its clutter-free interface, Picsart ensures smooth navigation from one editing tool to another feature.   

Customize your pictures with intuitive filters and visual effects adorning the Picsart ecosystem. Like other editing tools, Picsart has a background eraser to help you escape objects you do not want to be a part of your picture. You can also blur backgrounds for clearer images. Moreover, the in-built video editor helps you edit videos, add music, or trim them. You can also create an exciting video collage highlighting your best memories.    

In addition, with the retouch feature, you can add makeup stickers, try new hair colors, or enhance the facial effects. This amazing app turns text into images through an AI image generator and creates personalized photos automatically. Further, you can use the drawing tool to doodle on pictures or create something entirely new from your imagination.      

Pros

Huge collection of photo editing, enhancing tools 

Easy content sharing 

Easy-to-use filters 

Drawing tool for doodling 

Cons

Expensive 

Price: Free (In-app purchases start at $4.99) 

Download  

4. PhotoDirector – Try fancy filters for free

With a single tap, PhotoDirector lets you stylize your pictures, change your facial appearance, adjust lighting, and shuffle backgrounds. In addition, the wide range of animated objects like animals, flowers, moods, season specials, etc., help you create magic in your selfies. The overlay feature lets you add movements, moods, and emotions to your still pictures. The vivid collection of filters, stickers, effects, and frames will make you love this app.   

Pros

Thousands of filters, stickers, and frames 

Light adjustments allowed 

Easy sharing on social media portals 

Cons

Issues in subscription payments 

Price: Free (In-app purchases start at $1.99) 

Download 

5. Retouch AI – Toolkits to guide you 

The platform has an auto-detector that identifies strangers and crowds so you can remove them with a single tap. In addition, Retouch refines your imperfections, facial lines, and blemishes to give a natural-looking appearance. You can also whiten your teeth, enlarge your abdomen, increase your height, or reshape other body assets. The app lets you try and test multiple retouch variants to pick the most appealing one.   

Further, with the background editor, you can replace the existing background with one of the templates available in the in-app gallery. You can blur the surroundings if you don’t want any background in your picture. The multiple embedded tooltips guide you through the photo editing journey on this platform.  

Pros

Easy-to-use beauty enhancement tools 

Stack of trendy filters 

Multiple retouch features 

Friendly tooltips for guidance 

Cons

Frequent crashes 

Price: Free (In-app purchases start at $2.99) 

Download  

6. Youni – Enhance your beauty with AI

Do you want to create an exciting AI avatar that resembles you? Then, hop on to the Youni photo editing app to create multiple AI versions of yourself. Generate impressive looks defining unique roles and personalities using the in-built stack of creative styles and editing tools. From enhancing your facial looks to experimenting with fascinating visual effects – Youni offers everything to you at your fingertips. 

There are also multiple effects and filters like neon glow, fantasy, art presets, and many more for creating a catchy picture. Moreover, with Color Shift, you can add an interesting double-vision effect to your image.   

Pros

A comprehensive collection of filters 

Simple UI 

Manual and automatic features 

Cons

Frequent bugs 

Price: Free (In-app purchases start at $0.99) 

Download  

7. AirBrush – Play with backgrounds

While black-and-white photos define class, colorful tones add liveliness to the captured moments. Luckily, with the AirBrush photo editing app, you can turn an ordinary-looking image into an eye-pleasing picture anytime. AirBrush features a stack of real-time editing tools and themed filters designed to simplify photo editing, which can add stunning aesthetics to your photographs.    

Airbrush lets you expand or slim down the portions in your image that you might feel conscious about. Further, there are tools to blur, stretch, crop, or fine-tune your pictures and add an artistic touch. Once satisfied with the editing, you can share the images directly from AirBrush to your Instagram, Snapchat, Twitter, and Facebook pages. 

Pros

Easy-to-use interface 

A diverse collection of filters  

Crop, blur, or reshape pictures 

Beautify images with pimple remover 

Cons

Limited features available in the free version 

Price: Free (In-app purchases start at $5.49) 

Download 

8. Fotor AI – Erase unwanted objects magically

Feel free to play with the unique filters, photo effects, frames, fonts, and templates that adorn this popular photo editing platform. In addition, the app lets you adjust the light and tone, strike the perfect balance between the light and dark themes, and enhance the image quality. With the Retouch AI support, you can achieve a flawless makeup look in your naturally appealing selfies. It also facilitates text-to-image conversion using AI.   

Furthermore, with Fotor’s magic eraser, you can kick all the unwanted objects out of your pictures. Apart from this, the app houses a background remover that erases the existing background from your images or allows you to swap it with a new one. Your picture, your choice.

Pros

Perfect for photo editing, collage making, and designing 

Magic eraser deletes watermarks 

Multiple filters and templates 

Cons

Issues with the payment system

Price: Free (In-app purchases start at $0.99) 

Download  

9. Remini – Restore old pictures with AI 

Pros

Fixes blurry, low-definition, and old pictures 

Transforms vintage images  

Supports multiple languages 

Creates HD images 

Cons

Limited file size support in exports 

Price: Free (In-app purchases start at $2.99) 

Download  

10. Lensa AI – Create AI avatars for social media

With Lensa AI, every time is showtime. Yes, this comes from the fact that Lensa has earned great recognition from the social media community. From creating drool-worthy profile pictures to artistic selfies and pictures- Lensa specializes in every category. Just upload your regular selfies on Lensa and watch it turn them into stunning avatars. All thanks to Lensa’s smart AI that transforms an ordinary picture into an extraordinary artwork.  

Pros

Helps create magical AI-made avatars 

Exhaustive range of filters 

Video editing allowed  

Easy sharing of content on socials  

Cons

Selection limit on photos  

Price: Free (In-app purchases start at $2.99) 

Download  

Wrapping up 

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Author Profile

Srishti

Srishti is an avid writer who loves exploring new things and letting the world know about them through her words. With a curious mind, she will let you move through the nooks and corners of the Apple ecosystem. When not writing, you can find her gushing over BTS like a true BTS Army would.

Iot Platform Applications And Services Is Projected To Hit Us$783.0 Billion By 2023

The growing number of IoT connections leading to increased data traffic is fostering the market growth of IoT platform applications and services.

The global IoT platform applications and services market is estimated to grow from US$393.0 billion in 2023 to US$783.0 billion in 2023 at a CAGR of 11.7% during the forecast period. The major factors driving the growth of the IoT platform applications and services market include rapidly growing number of IoT connections leading to increased data traffic, increasing internet ubiquity and development of wireless technologies, rising need to increase operational efficiency in various industries, and government initiatives in R&D activities related to IoT. The term loT platform refers to a collaborative effort by several open-source contributors to create a new class of open large-scale intelligent loT or internet of things. The applications are created following the utility cloud computing delivery model. The technology is defined as a natural extension of the cloud computing implications. Access to further and increasingly essential loT-based capabilities and resources is made possible by loT. Also available are formulation and management services for environments containing loT resources that provide on-demand utility and loT services. Communication between sensors and devices enables healthcare organizations to streamline their clinical operations, manage workflows, and aid in real-time patient care, even from remote locations. Hence, healthcare organizations are focusing on implementing robust applications and connected technologies. Some of the major applications of IoT in the connected healthcare area are remote patient monitoring, healthcare workflow management, medication management, and medical asset tracking.

The global IoT platform applications and services market is estimated to grow from US$393.0 billion in 2023 to US$783.0 billion in 2023 at a CAGR of 11.7% during the forecast period. The major factors driving the growth of the IoT platform applications and services market include rapidly growing number of IoT connections leading to increased data traffic, increasing internet ubiquity and development of wireless technologies, rising need to increase operational efficiency in various industries, and government initiatives in R&D activities related to IoT. The term loT platform refers to a collaborative effort by several open-source contributors to create a new class of open large-scale intelligent loT or internet of things. The applications are created following the utility cloud computing delivery model. The technology is defined as a natural extension of the cloud computing implications. Access to further and increasingly essential loT-based capabilities and resources is made possible by loT. Also available are formulation and management services for environments containing loT resources that provide on-demand utility and loT services. Communication between sensors and devices enables healthcare organizations to streamline their clinical operations, manage workflows, and aid in real-time patient care, even from remote locations. Hence, healthcare organizations are focusing on implementing robust applications and connected technologies. Some of the major applications of IoT in the connected healthcare area are remote patient monitoring, healthcare workflow management, medication management, and medical asset tracking. The COVID-19 pandemic has wreaked havoc on organizations of all sizes, including those in the manufacturing, industrial, and government sectors. Businesses in many industrial sectors are restarting operations in recent times, as lockdown restrictions have been removed in practically every location around the world. During the pandemic, IoT device usage has risen in a variety of industries, including healthcare, utilities, manufacturing, and transportation and logistics. To combat potential failures, organizations have begun to consider intelligent asset management solutions for remote monitoring, alerts and notifications, remote services and control, predictive analytics and preventive maintenance and predictive analytics and preventive maintenance based on historical and real-time data analysis.

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