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Artificial intelligence (AI) is powerfuland the use of it for content generation is on the rise. In fact, some experts estimate that as much as 90 percent of online content may be generated by AI algorithms by 2026.

Many of the popular AI content generators produce well-written, informative content. But is it the right choice for your firm? Before you decide, lets consider the pros and cons of using this unique sort of copy with your digital marketing.

This article explains how AI content generators works, the pros and cons of AI-generated content, and a few tips for utilizing AI content in your digital marketing workflow.

Consumer-facing artificial intelligence tools are pretty straightforward, as far as the consumer is concerned. You provide some inputs, and the machine provides some outputs.

Heres how it works with content writing. You generally provide the AI generator with a topic and keywords. You can usually select the format youd like the output to take, such as a blog post or teaser copy. Then, its as simple as clicking GO.

The content generator will scrape the web and draft copy for your needs. Some tools can take existing content and rewrite it, which can make content marketing a lot easier.

Not all AI content generators cost money, but youll need to pay something to access the better toolsor to produce a lot of content.

If youre excited about the possibilities, great! There are some significant benefits to AI content generators.

Here are a few pros of AI content tools:

To sum up, AI content tools can quickly produce natural-sounding copy at a fraction of the cost of paying a real copywriter.

There are several important drawbacks to consider with AI-generated content. Speed and cost arent everything when it comes to content generation.

Here are several cons that come with using AI content tools:

AI tools can be hit-or-miss when it comes to empathy and accuracy. Law firms should be very careful when publishing this type of content. There are also serious SEO concerns with using AI content.

Overall, its clear that AI-generated content can provide value. The question is how to best incorporate AI content into your digital marketing efforts.

Here are a few best practices if you choose to use AI-generated content.

All AI-generated content should be reviewed by a real human being prior to publication.We recommend hiring a legal professional to review and edit AI copy. A copywriter can help smooth the rough edges, too. Because the content is already written, the hourly rate youll pay these professionals should be minimal.

Dont Use AI-generated content on your website. This type of tool should be a last resort. If you do use machine-generated copy on your website, make sure to block it from being crawled to avoid search engine penalties. Your website developer can advise on the best way to do this.

Do not hire an agency that brags about AI content as a core strategy.SEO and web development companies should be very aware of the risks that come with using AI content. If they suggest AI-generated content, ask them how they plan to protect your firm against search engine penaltiesand dont work with them if they dont have a good answer.

Our current position is that AI-generated content can be helpful for short blurbs, such as newsletters to clients. All AI content should only be deployed with human oversight.

We recommend against using AI-generated content for website copy. If it must be used, its important to work with a developer or agency that understands how to communicate with search engines so you arent penalized for using AI tools.

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Artificially Intelligent? The Pros and Cons of Using AI Content on Your Law Firms Website - JD Supra

US software company Oracle announced a multiyear partnership with Nvidia a global leader in artificial intelligence hardware and software that designs and manufactures graphics processing units (GPUs) for various industries to boost its cloud infrastructure.

Under the partnership announced in parallel with the opening of the Oracle Cloud World event in Las Vegas, Nevada Oracle will use tens of thousands of Nvidia's GPUs to accelerate the pace of computing and AI advancements in its cloud infrastructure.

Following the announcement, Oracles stock was trading slightly up at $67.03 at 5.40pm New York time, while Nvidia was trading up at $119.67 a share.

The Texas-based company intends to bring the full Nvidia computing stack including GPUs, systems and software to Oracle Cloud Infrastructure (OCI).

GPUs can process various tasks simultaneously, making them useful for machine learning, video editing and gaming applications.

Nvidia is a global leader in AI hardware and software. Reuters

OCI is adding tens of thousands more Nvidia GPUs including the A100 and upcoming H100 to its capacity, Oracle said in a statement.

About a month ago, the US restricted Nvidia from exporting its A100 and H100 chips, designed to speed up machine-learning tasks, to China and Russia.

Combined with OCIs AI cloud infrastructure, cluster networking and storage, this partnership provides enterprises a broad, easily accessible portfolio of options for AI training and deep learning inference at scale, Oracle said.

To drive long-term success in todays business environment, organisations need answers and insight faster than ever, the company's chief executive Safra Catz said.

Our expanded alliance with Nvidia will deliver the best of both companies expertise to help customers across industries from health care and manufacturing to telecommunications and financial services overcome the multitude of challenges they face.

The Oracle and Nvidia partnership comes as more companies integrate AI and machine-learning tools to streamline their operations and as AI models become more complex.

The companies did not disclose the financial details of the deal.

US technology company Oracle announced a series of new cloud-focused products at Oracle Cloud World on Tuesday. Reuters

Accelerated computing and AI are key to tackling rising costs in every aspect of operating businesses, California-based Nvidias founder and chief executive Jensen Huang said.

Enterprises are increasingly turning to cloud-first AI strategies that enable fast development and scalable deployment. Our partnership with Oracle will put Nvidia AI within easy reach for thousands of companies.

The global AI market is expected to grow at an annual rate of more than 38 per cent from 2022 to 2030, from $93.5 billion last year, Grand Views Research reported.

AI will be the common theme in the top 10 technology trends in the next few years, and these are expected to quicken breakthroughs across key economic sectors and society, Alibaba Damo Academy the global research arm of Chinese company Alibaba Group said in a report.

Updated: October 18, 2022, 10:01 PM

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Oracle joins up with Nvidia to boost its artificial intelligence capabilities - The National

The real estate industry is one of the many industries being disrupted by artificial intelligence (AI). From chatbots to predictive analytics, AI is changing the way real estate agents do business. Here's a look at how AI is impacting the real estate industry and what agents need to do to stay ahead of the curve.

Artificial intelligence sounds futuristic, no doubt influenced by popular culture. Yet true AI, the kind we have now, isnt nearly as advanced as to be able to do any of the things you see R2-D2 do in the latest Star Wars movie. Instead, todays AI is all about using advanced machine learning algorithms to process massive amounts of data as quickly as possible, identifying trends that could otherwise go unnoticed.

Because AI makes use of massive amounts of data its not just good at identifying trends its also adept at predicting future ones based on the information its provided. In fact, the larger the data set, the better modern AI performs with enough information at its disposal, a machine learning algorithm can provide incredible insights.

The real estate industry is, of course, the business of buying, selling, and investing in property. Real estate agents, brokers, investors, house flippers, construction companies, and property maintenance companies all fall under the real estate umbrella, either directly or tangentially.

Because there are so many different facets of the real estate industry, AI can be leveraged in dozens of different ways. A few examples include how real estate agents can use AI-assisted tools to build client relationships or how investors can use predictive analysis to help make determinations on the profitability of a property. The possibilities might not be limitless, but theyre highly promising.

So what, exactly, are the different ways that AI can impact the real estate industry for the better? Lets take a closer look below at four of the primary ways.

The more automation you can build into your processes, the better but this automation must be reliable. Otherwise, its not going to help you if its only going to deliver inaccurate or inconsistent results. This means that automating certain processes, especially those in client relationship management, needs to be done in ways that actually helps you build those relationships more efficiently.

The rise of so-called virtual assistants is emblematic of what AI can do for real estate professionals. A virtual assistant can automate tasks such as sending emails to your marketing list on a regular basis, for example. Other good ways to use AI-enabled assistance include an automated calculation tool that buyers, sellers, and agents alike can use, with the data the tool relies on being pulled from a large machine learning database.

Identifying trends and then predicting the impact that those new trends will have on the real estate market is a major selling point for artificial intelligence. Machine learning and analysis can parse massive amounts of data in a fraction of the time that people can, identifying both issues and opportunities before they arise.

AI-enabled predictive analytics can even be leveraged to create opportunities for greener real estate. HVAC systems, for example, make up 45 percent of energy usage in commercial buildings. 30 percent of that energy is wasted, but machine learning can be used to identify where waste is happening. This allows more targeted approaches to minimizing that waste, which reduces maintenance costs incurred by real estate investors.

A step up from a simple menu on a website, a chatbot is an interactive tool that allows site users to ask questions in real English and get accurate responses back. Programming a chatbot through traditional methods requires massive investments in time and resources, and the results are less than stellar its obvious to anyone using a traditional chatbot that were a far way off from useful interactivity.

Yet artificial intelligence increases the use of chatbots to near-human levels of interaction. Using machine learning, chatbots have access to massive amounts of data on the kinds of questions people tend to ask, allowing it to find better answers that are more helpful and less like talking to a robot. Using a chatbot in this way is hugely advantageous for real estate professionals looking to streamline their sales and marketing funnels effectively.

If the coronavirus pandemic has taught us anything, its that the ability to continue to live our lives during such times is dependent on strong remote business tools. Virtual reality and augmented reality are part of that, as you can leverage VR/AR tools to conduct business remotely and efficiently and the processing power of artificial intelligence helps make these capabilities a possibility.

In the world of real estate, being able to show properties virtually during the pandemic was a major boon. While nothing will replace truly walking through a property, having an interactive VR experience from across town or across the country where someone can explore the interior of a property without having to set foot inside it kept the real estate industry afloat during those tumultuous times.

New technologies always have the potential to disrupt the status quo. Embracing these new technologies from the outset is often the one factor that dictates long-term success, and this concept applies to the real estate industry just as it does to any other. AI and machine learning is just another step in the right direction for any real estate professional who wishes to see their business thrive.

Ben Shepardson is a Realty Biz News Contributing Writer and has a long track record of success in online marketing and web development. While pursuing a bachelors degree in Computer Information Systems, he worked doing enterprise-level SEO and started an online business offering web development services to small business customers.

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What is the Impact of Artificial Intelligence on the Real Estate Industry - RealtyBizNews

New York, Oct. 17, 2022 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Artificial Intelligence in Fintech Market Research Report by Components, Application, Deployment, Region - Global Forecast to 2027 - Cumulative Impact of COVID-19" - https://www.reportlinker.com/p06336246/?utm_source=GNW 32% to reach USD 75.40 billion by 2027.

Market Statistics:The report provides market sizing and forecast across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2020 are considered as historical years, 2021 as the base year, 2022 as the estimated year, and years from 2023 to 2027 are considered as the forecast period.

Market Segmentation & Coverage:This research report categorizes the Artificial Intelligence in Fintech to forecast the revenues and analyze the trends in each of the following sub-markets:

Based on Components, the market was studied across Services and Solutions. The Services is further studied across Managed and Professional.

Based on Application, the market was studied across Business Analytics & Reporting, Customer Behavioral Analytics, Fraud Detection, Quantitative & Asset Management, and Virtual Assistant.

Based on Deployment, the market was studied across Cloud and On-Premise.

Based on Region, the market was studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Cumulative Impact of COVID-19:COVID-19 is an incomparable global public health emergency that has affected almost every industry, and the long-term effects are projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlying COVID-19 issues and potential paths forward. The report delivers insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the market.

Cumulative Impact of 2022 Russia Ukraine Conflict:We continuously monitor and update reports on political and economic uncertainty due to the Russian invasion of Ukraine. Negative impacts are significantly foreseen globally, especially across Eastern Europe, European Union, Eastern & Central Asia, and the United States. This contention has severely affected lives and livelihoods and represents far-reaching disruptions in trade dynamics. The potential effects of ongoing war and uncertainty in Eastern Europe are expected to have an adverse impact on the world economy, with especially long-term harsh effects on Russia.This report uncovers the impact of demand & supply, pricing variants, strategic uptake of vendors, and recommendations for Artificial Intelligence in Fintech market considering the current update on the conflict and its global response.

Competitive Strategic Window:The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.

FPNV Positioning Matrix:The FPNV Positioning Matrix evaluates and categorizes the vendors in the Artificial Intelligence in Fintech Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Market Share Analysis:The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.

Competitive Scenario:The Competitive Scenario provides an outlook analysis of the various business growth strategies adopted by the vendors. The news covered in this section deliver valuable thoughts at the different stage while keeping up-to-date with the business and engage stakeholders in the economic debate. The competitive scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected help vendor to understand the gaps in the marketplace and competitors strength and weakness thereby, providing insights to enhance product and service.

Company Usability Profiles:The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global Artificial Intelligence in Fintech Market, including Active Intelligence Pte Ltd., Affirm, Inc., Amazon Web Services Inc., Cape Analytics Inc., CognitiveScale Inc., ComplyAdvantage Company, Core Scientific, Inc., Felicis Ventures Company, Google LLC, HighRadius Corporation, Inbenta Holdings Inc., Intel Corporation, International Business Machines Corporation, IPsoft, Inc., Microsoft Corporation, MindBridge Analytics Inc., Nuance Communications, Inc., Numerai Company, Oracle Corporation, Salesforce, Inc., TABLEAU SOFTWARE, LLC, and Upstart Network, Inc..

The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on the market offered by the key players2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:1. What is the market size and forecast of the Global Artificial Intelligence in Fintech Market?2. What are the inhibiting factors and impact of COVID-19 shaping the Global Artificial Intelligence in Fintech Market during the forecast period?3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Artificial Intelligence in Fintech Market?4. What is the competitive strategic window for opportunities in the Global Artificial Intelligence in Fintech Market?5. What are the technology trends and regulatory frameworks in the Global Artificial Intelligence in Fintech Market?6. What is the market share of the leading vendors in the Global Artificial Intelligence in Fintech Market?7. What modes and strategic moves are considered suitable for entering the Global Artificial Intelligence in Fintech Market?Read the full report: https://www.reportlinker.com/p06336246/?utm_source=GNW

About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

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Artificial Intelligence in Fintech Market Research Report by Components, Application, Deployment, Region - Global Forecast to 2027 - Cumulative Impact...

Artificial intelligence technology is being used more and more and in many situations it is used to see how people would look with the passing of time or by removing aesthetic touch-ups

This is the case with a TikTok account, run by the Australian streamers Vandahood Live. They posted a video compilation of what the Kardashians would look like naturally on their profile.

Kim Kardashian, Kylie Jenner, Khloe Kardashian, Kris Jenner and Kourtney Kardashian have been the subjects of that now viral TikTok, showing their faces without the surgeries they have been getting over the last few years.

The real video used is from 'Keeping Up with the Kardashians' where you can see their real faces compared to the one generated by artificial intelligence.

The most obvious Kardashian differences are Kylie's thinner lips or Khloe's much thinner nose. In addition, both have admitted in interviews that they have had these surgeries.

"We used three different artificial intelligence software and two different standard graphics software and a full week to get it done," explained Keith, one of the members of Vandahood Live to PetaPixel.

"We had to take a different approach for each family member, as each experienced different changes over the years."

Deep Face Lab, FaceApp and EbSynth were the programs used to recreate the Kardashians.

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Artificial intelligence reveals what the Kardashians would look like without all their cosmetic surgeries - Marca English