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Industry leaders around the world are using artificial intelligence to enhance their business with marketing technology. Whether its analyzing consumer interests and data, guiding sales decisions and social media campaigns or other applications, artificial intelligence is changing the way we understand marketing in many industries. Lets talk about the latest ways that businesses can utilize these powerful tools to achieve their marketing goals.

Technology changes every day. A lot can change over several years, especially intrending artificial intelligence technologies. The same goes for AI in marketing applications. Understanding the basic ideas behind applications of AI in marketing solutions can generate unique ideas that can break new ground in various industries.

AI can help automate projects to make businesses more efficient. According to Accenture, the productivity of businesses can be improved by 40 percent when utilizing AI. This not only can save time and money but can enable your company to focus their efforts on providing quality experiences for customers rather than spending too much time moving things from one spreadsheet to another.

AI can also help minimize errors in marketing processes. Artificial intelligence can complete specialized tasks with greater efficiency than humans can so long as supervision and guidance are involved. Often in cases where AI fails to provide the right results, human error was involved in setting up the AI program with appropriate data or it was used in a way that was not intended.

Because AI can dramatically speed up the process of marketing campaigns, reduce costs, and improve efficiency, artificial intelligence is much more likely to result in an increased return on investment (ROI).

Artificial intelligence is a strong tool when used alongside high-quality data. Many companies have had positive results in the real world when combining their market research data with artificial intelligence. This enables them to do all sorts of things. A big part of this trending use case is target group segmentation. AI is far quicker and more efficient at performing this task than humans are.

By investigating their target audiences more deeply, businesses can make more personalized offers to them that they are more likely to accept.

When we examine how this looks up close, we can get a better understanding of how it works. A nationwide department store can take a look at the data theyve collected on their customers and narrow down their search to those interested in food. Using artificial intelligence, we can identify customers that have a strong preference for organic foods. By quickly using AI to analyze the habits and preferences of these consumers, campaigns can be tailored toward them with greater efficiency to improve sales.

Target group segmentation is one of the keystone elements of personalizing a marketing campaign, but there are many other ways that artificial intelligence can help businesses personalize experiences for their audiences and customers. According to Salesforce, 76 percent of customers want businesses to have a clear understanding of their personal expectations.

One way that businesses do this with AI is to use predictive marketing analytics. By having AI analyze data of past events, it can reasonably and accurately infer how performance will look in the future based on a variety of factors. More importantly, analyzing what users like most can be useful when looking to suggest products to them.

For example, Amazon is the champion of this strategy. When browsing on their site, Amazons artificial intelligence knows about what you have bought in the past. Based on this, it can suggest products to you in your feed. It also knows what other users like you are interested in, meaning that they can provide suggestions based on that activity. This results in very personalized suggestions that can lead to higher conversions.

Spotify also takes advantage of this to make more effective music suggestions for you. It also uses this data to invest in artists to create new music that will be generally liked by a wider audience on a broader scale.

However, most personalization methods with AI tend to start from the top-down and personalize to the individual instead of an entire group. The more that the system can understand the individual user, the more likely that conversions can be made. Every user has variations that differentiate them from the larger group, so no group marketing campaign will ever be as effective as a campaign that targets specific individuals and their own interests.

The ability to use artificial intelligence to predict the success of marketing campaigns and to better personalize experiences for users is a powerful technological trend that will continue for years to come. Adaptation to include this tool in your arsenal is critical for relevancy at scale.

One of the most difficult challenges of the onset of the 2020 COVID-19 pandemic was a surge in sales of various products by stockpilers. Shortages of toilet paper became a notorious meme on the Internet as stores struggled to maintain stock in the face of the buying panic. Eventually, stock would be controlled by buying limitations. However, there was an important lesson to be learned here: demand forecasting and dynamic pricing could have prevented a great deal of this struggle.

Earlier we established that artificial intelligence is a powerful tool for analyzing past data in order to predict future activity. The same principle can be applied here. Its possible that AI can be used to analyze consumer interests, world events, and other sources to determine if there will be a rise in demand for certain products.

Using the pandemic as an example, BlueDot is a program that already can analyze the likelihood of a disease spreading across the world. If worldwide or nationwide emergencies can be predicted in this manner, stores can automatically begin ordering more products like toilet paper, medicine, and more. Not only can this help maintain stock and improve sales for stores, but it can also help the public better manage the disaster and lead to a swifter recovery.

This can also be used to dynamically and automatically raise prices. This can be used to better control stock during times of high demand and panic buying, naturally dissuading customers from bulk buying beyond reasonable amounts, as well as optimizing revenue for your business.

Dynamic pricing and demand forecasting for every business is unique. From the types of items that you carry to the types of consumers that you are serving, a custom solution made by your team or by an external vendor may be the best option for creating a system that can accomplish your goals.

Providing unique and engaging content can be challenging. While AI can automatically generate content, it often can be more trouble than its worth.

Although this technology is improving and can be very effective in some contexts, a more widely accessible and reliable possibility is for AI to offer intelligent suggestions to human writers. AI-guided suggestions for writers form the basis of features in applications like Grammarly, Microsoft Editor, Google Docs, Microsoft Word, Yoast, SEMRush, and more.

Adobe Premiere Pro uses AI for a variety of purposes, such as automatically matching colors and managing sound mixing against voiceovers. Whats great about content creation is that humans can create unique and interesting content that AI cannot, but AI can help us augment our talents to improve the quality of the final product.

AI can also help us with image generation and manipulation tasks:

All this can be done with the help of generative adversarial networks (GANs) that learn the structure of the complex real-world data examples and generate similar synthetic examples.

Does it mean that robots can replace designers? Absolutely not. The power ofAI in designis mostly about optimization and speed. Designers armed with AI tools can work faster and more effectively.

One particular avenue of AI in content creation comes from its role in marketing campaigns via email. eBay is a particularly good example of AI email marketing, utilizing a third-party service called Phrasee andnatural language processingto improve email open rates by 15.8 percent and improve clicks by 31.2 percent.

This technology is used to optimize the subject text and headline copy automatically to find the most effective variation to use with eBays audience. The AI-generated portions of the emails are attentive to the tone of voice to maximize their success.

Aside from the fact that natural language processing is improving as years go by, AI-based email marketing at its most basic can be automated with a series of A/B testing. However, the more demographic data and natural language processing that can be incorporated into the project, the better the results. Advanced artificial intelligence algorithms can improve the dynamic optimization of email marketing greatly, as seen in eBays case.

Ultimately, the future of AIs role in marketing technologies will be determined by imagination and innovation. Combining different technologies together can result in businesses outcompeting other leading players in the market for years. At the bare minimum, understanding whats already in use is important for bringing your company up to speed to remain relevant and competitive in the market.

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Artificial Intelligence in Marketing: Boost the Growth in 2022 - IoT For All

SUNNYVALE, Calif.--(BUSINESS WIRE)--Celestial AI, an AI-accelerator company with a proprietary hardware and software platform for machine learning chipsets, today announced a $56 million Series A investment led by Koch Disruptive Technologies (KDT) with participation from Temaseks Xora Innovation fund, The Engine, the venture firm spun out of MIT, Tyche Partners, Mercks corporate venture fund, M-Ventures, IMEC XPand, and venture capital investor in the Princeton University ecosystem, Fitz Gate. The new capital will be used for expanding the global engineering team, product development and strategic supplier engagements, including Broadcom, to build the companys Orion AI accelerator products. Celestial AIs mission is to fundamentally transform the way computing is done with a new processing system, based on their proprietary Photonic Fabric technology platform, that uses light for data movement both within chip and between chips.

Driven by advancements in data communications, robust silicon photonics technology and volume manufacturing ecosystems have been established. The industry is ripe for commercial implementation of Machine Learning (ML) and high-performance computing (HPC) solutions that leverage integrated silicon photonics for data movement. For AI computing applications, data movement is the dominant contributor to system power, and most leading competitive architectures are trading off moderate power reductions for increased system and software complexity. Celestial AIs Photonic Fabric enables optically addressable memory and compute (within chip and chip-to-chip) that decouples their technology from the limitations of electronics and slowdown of Moores Law. Their proprietary architecture enables elegant, low-complexity system software, allowing highly efficient mapping of data and compute without the need for complex optimizations. This software advantage extends to multi-chip exascale systems as the Photonic Fabric democratizes optical access to effectively limitless memory and compute. Celestial AIs Orion AI accelerator products serve an addressable market that is projected by Omida to exceed $70 billion in 2025.

We are addressing the problem of our time in computing efficient data movement, said Celestial AI founder and CEO David Lazovsky. Celestial AIs hybrid photonic-electronic platform allows us to leverage the complementary strengths of electronics for high-performance, high-precision computing and photonics for high-speed, low-power, high-bandwidth data movement. The result is transformational performance advantages relative to electronic-only systems. The ML application benefits extend beyond performance and low power to latency, user friendly software, and low total cost of ownership. Our competitive differentiation will increase with time, as AI model complexity increases, driving increased data movement.

Domain-specific architectures targeted to AI workloads can make up for some of the slowdown in CMOS advancements, but that approach also has its limits. By integrating photonics into accelerators for AI workloads, Celestial AI enables step-change advancements in AI computation. Chips and server systems are limited today by power budget (Thermal Design Power or TDP). The Celestial AI Photonic Fabric allows a redistribution of the fixed power budget from data movement to compute, providing sustainable and expanding performance advantages over all electronic-only solutions. Every Joule of energy saved on data movement can be spent on compute.

Photonics is poised to be the technology to usher in the next era of rapid growth in AI and high-performance computing, and we believe the Celestial AI team has the experience and vision to drive this industry transformation, said Isaac Sigron, Managing Director of KDT, and newly-appointed Celestial AI Board Member. It was Celestial AIs software advantages that ultimately drove our decision to lead this financing. Their system architecture enables unparalleled software simplicity, which translates to ease of use for customers and reduced time to market. Software is the pathway to revenue, and Celestial AIs solution changes the game in this large and rapidly expanding market.

Celestial AI has developed an architecture that uniquely scales across multi-chip systems, and greatly diminishes the development burden on AI teams bringing new applications to market. As the world moves to increasingly complex AI models, we believe that Celestial AIs competitive advantage will only grow over time, said Phil Inagaki, Managing Director at Xora Innovation.

ABOUT CELESTIAL AI

Celestial AI is an AI accelerator company with a proprietary hardware and software technology platform which enables the next generation of high-performance computing solutions. Celestial AIs mission is to fundamentally transform the way computing is done with their proprietary Photonic Fabric technology that uses light for data movement both within chip and between chips.

ABOUT KOCH DISRUPTIVE TECHNOLOGIES

Koch Disruptive Technologies (KDT) is a unique investment firm, focused on empowering founders to create a could-be world. KDT provides a flexible, multi-stage investment approach which includes both traditional venture and growth stages. We work with principled entrepreneurs who are building transformative companies, disrupting the status quo, and creating new platforms. KDT is a subsidiary of Koch Industries, one of the largest privately held companies in the world with $115 billion in revenue and operating in more than 70 countries. KDT helps its partners unlock their full potential by bringing Kochs capabilities and network to them, structuring unique capital solutions, and embracing a long-term, mutual benefit mindset. For more information, visit http://www.kochdisrupt.com.

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Celestial AI Raises $56 Million Series A to Disrupt the Artificial Intelligence Chipset Industry with Novel Photonic-Electronic Technology Platform -...

Residential Real Estate in the United States is in aggregate a $45 trillion space. As such, reliable, intelligent, timely, accurate, and usable data in real estate is vital not only to this vertical but to the entire economy." - Malcolm Cannon

LOS ANGELES (PRWEB) February 05, 2022

Reliance on multiple data points, from historic prices and trends to property ownership data, is nothing new. However, the data that we use to make our housing choices have become increasingly sophisticated. Quantariums valuation models provide property valuations through a self-learning AI engine. Quantariums advances in Computer Vision (CV) technology is allowing AVM to transcend historical constraints; understanding their journey and the impact of AI is critical to the future of real estate.

Quantarium is a leading producer and purveyor of value-added data in residential real estate. Their data and analytics scientists and experts illustrated great innovation in their approach to building the industrys leading RE data lake, so it is a team-wide validation to receive this distinction. When asked what the potential of this space is, Cannon explained: Residential Real Estate in the United States is in aggregate a $45 trillion space. In addition, homes are the most vital and valuable of most families investments/assets. As such, reliable, intelligent, timely, accurate, and usable data in real estate is vital not only to this vertical but to the entire economy. PropTech, as the area has been called, is a booming industry and were happy to not only be in the space but also to enhance the stories of other players.

Quantariums product and customer journey is an interesting look at how artificial intelligence plays a role in real estate. They started as an idea and ended up building the leading Automated Valuation Model, AVM, that still breaks the tape in the AVM race. They leveraged their knowledge and experience to build a Data and Search platform for real estate, powered by the most comprehensive data lake in the industry. By emphasizing the platform aspect, they could power any company that leverages residential real estate data, from mortgage companies to banks to insurance.

There is a lot of talk in the data industry about technology versus people, from the benefits of consistency and efficiency to the reduction of bias in housing prices and access. When Cannon was asked about this, he answered that Quantarium has never been purely technocratic, despite the fact that it is an AI company: We, like anyone, would affirm the unquestionable importance of human wisdom in all parts of society, including this vital area of the economy. Often, the debate is cast in binary terms, which we reject. Increasingly, it would appear the industry will benefit from, and work towards, an equipoise in understanding both the methods and instruments through which human wisdom and tasking are best applied and those areas in which machine learning technologies can be best advantaged we see the growing confidence in the category of hybrid valuation products as evidence of this.

Cannon understood the importance of implementing this knowledge in this specific area of technology, which is why Quantariums Translucent A.I. is embedded in their Valuation Services Platform (QSVP) as an asset for human-assisted and enhanced technologies. It was intentionally constructed this way. Quantariums translucent A.I.-based technologies provide an auditable line of sight to offer the optimal platform for professional human input integration, as needed, towards maximum possible results. In fact, this should be the expectation; most computerized airplanes and spacecraft still provide manual controls for takeoff and landing, for instance. In other areas such as AVMs Quantariums advances in Computer Vision (CV) technology, AVM is now transcending historical constraints. These AVMs are crossing the threshold of not being able to understand property condition or see inside the structure to account for value adjustments other than assuming a static coefficient of average condition for the year built. Moreover, the fidelity of Quantariums CV can detect and eliminate occupants photos and other iconography that may be humanly interpreted to indicate racial, or ethnic identities that could consciously, or unconsciously introduce unwarranted subjectivity in the valuation, or QC process.

This being said, it was important to Cannon to elaborate on the challenges of AI in addressing bias. At the end of the day, the challenge for AI to assist in addressing bias will need to be understood. Certain axioms remain, particularly about any technology being only as effective as the data it relies upon. Quantarium remains ever cognizant of this. Consequently, it understands that models rely on trailing data and that data unavoidably, at this juncture, has suffused within, whatever prior human biases contributed to skewed valuations. With this understanding in hand, Quantarium refrains from making any announcements regarding AVMs eliminating bias in valuation it is disingenuous and the challenge to eradicate this will take more than just technology. Can it be an asset in addressing the challenge? Absolutely and Quantarium is making significant R&D investments, with a focus on assisting the industry in addressing the challenge.

Certainly, evidence for racial bias in real estate exists. But while technology is often considered a neutral tool, the data it relies on has bias built into it. So real estate data providers have a lot more work to do to identify and eradicate bias, and AI is an important part of that process. Quantarium has already devoted R&D resources to this area.

Cannon is now looking towards the future and thinking about his vision for Quantarium in 2022. Like with all companies, Quantarium has had to adjust to the realities of a Covid economy and the impact that has wrought on the global business climate. Despite this, they are able to focus on strong tailwinds, such as Machine Learning, Computer Vision (CV), and Data Innovation. These tailwinds are in demand as they play a larger part in the future of both the commercial markets and the regulatory environment. Moreover, Quantarium has made a mark in several areas of this space and as a result are fortunate to have a set of relationships with incredible experts across the industry, including in the newly burgeoning PropTech space. Cannon explains, then, that their vision is to provide our quickly expanding customer adoptions with innovation and rapid deployments of proficiency technologies, spanning from our new Computer Vision APIs and Valuation services, through to our Smart Market Explorer within the Quantarium TerraVerse to help our customers navigate the industry challenges ahead. More on that soon!

Along with other digital communities, data communities play a crucial role in bringing down barriers by providing use cases, datasets, and professional opinions from data experts all in one place. Find useful data and learn how to use the data you have. Whether you are a data leader, involved in data analytics, or a decision-maker needing to show growth, the DataHunters community is here to help you power your decision-making with the right data.

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How Artificial Intelligence is Transforming the Real Estate Space - PR Web

In todays world which is ruled by digitisation, technology is powering journalism. Artificial intelligence involved jobs accounts to around 10-12% of the total functionalities in the industry.

Machine-Written Articles: AI can help human reporters in more complex work, such as long-form articles, in-depth analyses and investigative journalism. AI-written articles are currently limited to simple and formulaic topics including stock market results, sports game scores, etc.

Transcribing Audio and Video Interviews: AI can save reporters valuable time by transcribing audio and video interviews. It converts audio data into text so that journalists can focus on deriving insights rather than transcribing audio or video interviews.

Flagging Alerts: AI can examine large databases and send journalists alerts as soon as a trend or anomaly emerges from big data. It can provide content producers and publishers tools to identify fake news and lessen their impact on their readership.

Powering Journalistic Processes: AI systems can improve journalistic processes and workflows. It can help organizations streamline their distributed processes for gleaning information, contacting sources and backend operations like dealing with the advertisers.

Controls bias:Bias is a global issue and news media have no escape from it. However, AI assists in reducing the subjective interpretation of the data of the human as its machine learning algorithms are trained to consider accuracy.

Robot as news reporters:Despite invading manufacturing, healthcare and marketing industry, robots are now in newsrooms as well. Chinas state-run Xinhua News Agency made a breakthrough by deploying a robot as English AI Anchor.

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Analytics Insight is an influential platform dedicated to insights, trends, and opinions from the world of data-driven technologies. It monitors developments, recognition, and achievements made by Artificial Intelligence, Big Data and Analytics companies across the globe.

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Artificial Intelligence in Journalism: Where is Media Headed? - Analytics Insight

Leading Artificial Intelligence (AI) and AR/MR company ThirdEye Gen is at the cusp of an innovative breakthrough, as it launches a wearable computing tech that will change the landscape of tech-based experiences.

In recent times, ThirdEyes enterprise has released a set of smart glasses, which look to provide warehouses with more imaginative ways to transform their picking processes, inventory management, and warehouse navigation to make it more efficient. Their platforms serve and support enterprise organizations and various workers in field service, healthcare, first response teams, aerospace, defense, transportation, utilities, and energy to become more effective and productive on mission-critical tasks. In addition, the companys inventions create the next generation of Mixed Reality Glasses and augmented/mixed reality software. At home and in business, AR is changing how people see the world.

ThirdEyes smart glasses bring about a new age of hands-free wearable computing and human interaction by directly interacting with surrounding objects placing interactive and digital information directly into the users field of view.

Nick Cherukuri is an American technology entrepreneur and the founder and current CEO of ThirdEye Gen. In 2019, Cherukuri was named in the Forbes 30 under 30 for enterprise technology.

ThirdEye was recently identified as a critical player in Industrial ITs AR market study titled, Global Augmented Reality Technology Market Scope 2022-2027: Industry Growth, Business Opportunity, and Leading Players. The study analyzes market data from 2016 to 2020, provides forecasts until 2026, and addresses AR market trends and drivers.

We are taking AI & AR to new heights, says the founder of the ThirdEye Gen. As their first step towards innovations, they have already designed and provided wearable intelligent glasses for healthcare professionals with easy access to digital information, including patient history, test results, and patient care instructions. The smart glasses are being used in hospitals nationwide and helped in the fight against Covid last year.

Say a certain project needs 50 different tasks to complete instead of carrying around a manual or looking down at your phone over and over while you need to use your hands to work, now you can be hands-free and get the entire task checklist displayed live in your field of view. In addition, you can mark each task as completed, and the team [on-site or at the home office] can also see the progress on a task, explains the innovative CEO of ThirdEye.

With their recent breakthroughs and upcoming tech releases, they are attracting the Metaverse NFT holders, tech geeks, and other affiliates. ThirdEyes headset design is sleek, comfortable, and not bulky. They ensured that their design was gathered from the market and customer research, ensuring that their gears were one size fits all.

Nick and the ThirdEye Teams prioritization of design and user needs helped align and design products on a user-first basis. Next, Nick hopes to start exploring the growing market of Crypto and NFT. But for now, he and his team will focus on becoming known in every home in the world through their tech-based innovations.

Media ContactCompany Name: Third Eye GenContact Person: Odirin AdidiEmail: Send EmailPhone: 9292403745Country: United StatesWebsite: http://www.thirdeyegen.com

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Leading Artificial Intelligence Company ThirdEye Gen Shows Unlimited Applications of Their Technology - Digital Journal