AI WOOF

Customer Service ChatGPT is undoubtedly more impressive than your average customer service chatbot, and in years to come, it’s undoubtedly going to get even better. If you work in customer services and your job simply involves reading from a script or parroting phrases from a FAQ when you are asked questions, you might rightly be starting to sweat. Fortunately, we all know that most customer service roles are a bit more sophisticated than that. Generally, they will require a degree of emotional intelligence and empathy in order to fully understand how customers are affected by issues they are facing. Those who continue to be successful in the field of customer services as AIs like ChatGPT and related technologies become more sophisticated are likely to be the ones who learn to use it as a tool and work alongside AI. By embracing the opportunities offered, workers in the customer service space can learn to augment their innate human abilities and desire to provide solutions with technol

  But what are Wall Street’s top 20 AI stocks to BUY NOW?   Here’s the list:   Darktrace Taiwain Semiconductor Manufacturing Meituan Class B JD.com Inc. CrowdStrike Holdings Alibaba Group Amazon Nidec Corp Sony PROS Holdings Inc. Alphabet Inc. Class A Denso Corp. Palo Alto Networks Infineon Technologies Nice Ltd. ASML Holding Samsung Electronics Synopsys ServiceNow Apple

 AI and Copyright Google’s AI music generator sparks copyright concerns,  Google’s AI Music Generator, MusicLM, may revolutionize the music industry by allowing producers and songwriters to experiment with sounds and styles that were previously difficult to achieve. However, due to copyright concerns, Google is not yet releasing the music-generating technology to the public. https://google-research.github.io/seanet/musiclm/examples/

pharmaceutical industry - saving R&D costs   The pharmaceutical industry is experiencing a wave of innovation with the help of artificial intelligence (AI) to discover new drugs thanks to AI's ability to predict how potential drugs might behave in the human body, making it easier to discard dead-end compounds before they leave the computer. Currently, dozens of drugs that were developed with the assistance of AI are now in or entering clinical trials, but while AI automation throughout the drug development pipeline offers a lot of promise, some believe that the technology could introduce some serious challenges. In this article, learn how AI automation can cut down on the need for painstaking lab work, the limitations of using AI in drug discovery, and how AI can potential drugs might behave in the human body? AI together with DNA and medical records will significantly mean massive inroads in drug treatments. 

 AI and Semi-Conductors JPMorgan said there’s 3 stocks that are poised to soar in the current AI boom:   Nvidia  (NASDAQ: NVDA) … Broadcom  (NASDAQ: AVGO) … and Marvell Technology  (NASDAQ: MRVL). These are all semi-conductor plays which will see a massive upside as more tech will be needed and seen around the world!

  An API that can be used on any fragrance retailer's site or internal fragrance database. In one click it translates descriptions to fragrances. No long questionnaires. No expert language is required. Anyone can ask ScentGenie for a scent in their own words and receive matches. The tech was inspired by real customers at Ulta who would rather describe what they were looking for than engage with a questionnaire. It was then tested with niche fragrance experts for accuracy. It is a fast, novel and intuitive solution for online or retail. An APaaaI that can be used on any fragrance retailer's site or internal fragrance database. In one click it translates descriptions to fragrances. No long questionnaires. No expert language is required. Anyone can ask ScentGenie for a scent in their own words and receive matches. The tech was inspired by real customers at Ulta who would rather describe what they were looking for than engage with a questionnaire. It was then tested with niche fr

  #5: Reporting and Analytics With automated reporting and analytics capabilities powered by Machine Learning algorithms, you can now get real-time insights into which of your marketing initiatives are working best, allowing you to make decisions quickly and effectively optimize for better results faster than ever before. By leveraging AI-driven analytics, businesses will be able to gain a better understanding of their customer base and tailor their marketing campaigns accordingly. AI-driven analytics can also provide businesses with valuable insights into their competitors’ strategies, allowing them to stay one step ahead of the competition (and let’s be honest, marketers love to stay one step ahead).

#4 Content Distribution and Creation   AI tools not only help with content idea brainstorming, writing, and artwork/graphics creation, but some can also help with insights, data, and distribution of content on social media sites for example. AI can even help marketers target customers better and get more clicks, views, or engagement on their content. One of the most popular AI marketing tools is Hootsuite Insights. This tool provides marketers with insights into their content and social media posts, allowing them to optimize for better engagement and visibility. It also uses natural language processing (NLP) to evaluate content performance so that marketers can adjust their strategy as needed.  

  #3: Personalization AI-powered personalization will be a major component of marketing in 2023. AI-driven personalization gives marketers the ability to customize content for individual customers based on their past interactions, preferences, and behaviors. This allows businesses to build stronger relationships with their customers and convert more leads into sales.

  #2: Data Analysis AI tools provide insights into customer behavior that can help optimize campaigns and target the right audience at the right time. Common tools like Google Analytics and IBM Watson have already been providing AI-powered insights for a couple of years. AI tools now can do things like identify trends, calculate predictions, and suggest strategies. Google Analytics utilizes a powerful combination of machine learning and business intelligence to instantly calculate key metrics, like customer engagement patterns, website performance, and site visitor activity. The best part is, more tools are popping up every day, and the capabilities are going to continue improving over time.

  #1: Speed of Creating Marketing Campaigns From campaign ideation to writing landing page copy, social media posts, and emails, one of the biggest impacts of AI on marketing is the ability to expedite many of the tasks associated with marketing campaigns, freeing up time and budget for marketers to focus on bigger and more creative projects. Marketers can now work alongside AI tools ( like Jasper , which we use at DigitalMarketer every day) to save 80-100 hours per month on writing copy and content for marketing campaigns. But, don’t forget to tweak it to match your brand voice, and add your unique perspective to what the AI tools create for best results.

  SENSYNE HEALTH PLC (SENS): Another AIM company combining AI technology and patient data in order to improve patient outcomes is Sensyne Health. Through a unique partnership with the NHS that unlocks the value of electronic patient record data for research, SENS have created AI software that is able to analyse this data and answer clinically relevant questions and generate new discovery hypotheses. By doing so, improvements are so made in pharmaceutical development and clinical trials.

  RENALYTIXAI PLC (RENX): With regards to the Healthcare Equipment & Services sector, there are two ​ AIM listed companies ​ working with AI. The first of which, RenalytixAI PLC, is a developer of artificial intelligence (AI) enabled clinical diagnostic solutions for kidney disease, which is one of the most common and costly chronic medical conditions globally. Through drawing from distinct sources of patient data, RENX intends to build a deep, unique pool of kidney disease-related data for different AI-enabled applications designed to improve predictive capability and clinical utility over time.

  INDIGOVISION GROUP PLC (IND): Still staying with the theme of security, one particular product belonging to IndigoVision Group PLC helps keep businesses safe through advanced computer vision and deep learning technology. Such technology is able to intelligently condense hours of video footage into just a few minutes, presenting viewers with just the items of interest – thus allowing time to be spent more efficiently and effectively in video review.

  ATTRAQT GROUP PLC (ATQT): Also with a customer-centric focus, Attraqt Group PLC uses Machine Learning to provide a more effective online shopping experience. Way in which their technology is applied include predicting items that will be of interest to a particular shopper, presenting items in order of most interest for that shopper, and enabling a shopper to consider all available alternatives to a selected item that are visually similar or complementary. As well as large fashion retailers such as ASOS, Missguided and M&M Direct, Attraqt also count the likes of Screwfix, Laura Ashley and Wilkinson within their long list of current customers.

  JAYWING PLC (JWNG): Coming from the same school of thought as Albert Technologies, Jaywing PLC also believe that to gain unique knowledge about your customers, your competitors and your marketplace, you need AI. As such, they have since developed an AI-powered technology suite called Archetype that is able to provide their marketing clients with greater opportunity to interpret their data and predict customer behaviour. Together with their consulting team of data scientists and strategists, Jaywing believe Archetype is better placed to assess pricing strategies, product and channel propensity, as well as customer value and marketing attribution, and more.

  ALBERT TECHNOLOGIES LTD (ALB): Moving now to media and marketing, Albert Technologies have developed a self-learning marketing solution that is able to drive media and operational efficiencies through plugging into a company’s tech stack and then carrying out autonomous targeting, autonomous media buying, autonomous cross-channel execution, autonomous testing and optimisation, as well as autonomous analytics and insight. Although Albert Technologies CEO, Or Shani, believes humans will remain vital in guiding the overall vision and strategic thinking, he also believes it inevitable that humans have had their day when it comes to data analysis and optimisation.

  THE PANOPLY HOLDINGS PLC (TPX): The Panoply is the parent company of a digitally native technology group with several member companies working with AI. One of which, TPX Human+, are also Robotic Process Automation (RPA) experts in the same guise as PRSM, helping to replace repetitive and rules-based tasks through automation technology. Another member of the group, GreenShoot Labs, is a chatbot and applied AI agency that uses conversational interfaces, data and automation to build intelligent services so that clients can better engage with their audience.

  BLUE PRISM GROUP PLC (PRSM): Starting with the largest market cap company on the list, Blue Prism Group are pioneers of Robotic Process Automation (RPA), providing connected RPA intelligent software that has the ability to automate and perform repetitive tasks. With solutions across a large number of industries and business functions, PRSM recently won Best Robotic Process Automation (RPA) Company at the 2018 AI Breakthrough Awards. Reflecting such successes, current customers include big names such as Accenture, eBay, Fujitsu, Heineken and Siemens.

  How is artificial intelligence being applied? To date, AI has found application across a wide range of industries — most notably: Healthcare:  In this field, AI applications are able to provide faster and more accurate diagnosis through mining patient data and other available data sources, as well as acting as personal healthcare assistants, reminding patients to take their pills, exercise or eat healthier. Education:  AI in education offers the opportunity to automate the large number of repetitive tasks, such as grading, allowing educators more time for higher-value activities. AI is also able to provide additional support to students, ensuring they stay on track, even replacing the need for teachers in certain instances. Finance:  Within finance, AI techniques are being used to identify potentially fraudulent transactions, as well as adopting faster and more accurate credit scoring. Manufacturing:  An application of AI within manufacturing is its ability to quickly and accurately

The mass layoffs we've seen in tech are only just the beginning. New artificial intelligence has the potential to reduce production costs and improve efficiency across every industry on earth. It's very possible that we'll see AI take 80% of American jobs (or more) by 2030.

AI Market Size   In 2022, North America held 43% of the $119.78 billion market share. And it’s predicted to lead the AI market in the next ten years. Other regions hold large pieces of the market. Specifically, Asia Pacific and Europe- Japan, China, and Germany, in that order. 

 AI Tools AI-powered tools to consider There are quite a few AI-powered tools that can essentially complete tasks for you. From creating content ideas and repurposing content to generating logo designs and more. Here are a few AI-powered tools you might consider adding into your arsenal: ChatGPT :  A free AI chatbot that users can write in prompts for and receive answers and feedback. RunwayML :  A suite of 30+ AI-powered tools that allow users to create and edit stunning content. Otter.ai :  An AI-powered transcription tool that can be used to quickly transcribe videos or podcast episodes. Stockimg AI :  Auto-generate stock images for your articles, videos, social media posts, and more. Synthesia :  Create videos from text with this AI-powered video creation tool. Keep an eye out for even more AI tools over the next few years. Soon, tools will pop up that can assist with nearly every content creation task out there. The key to using these tools is to make your work easier, and save yo

Manufacturing and AI Our current manufacturing economy is reactive. An AI-driven economy would be proactive. For example: →  Predictive maintenance:  AI would be able to reliably predict when machines would need maintenance, ordering it before your car breaks down on the side of the road. →  Wear and tear analysis:  Things break down and some are beyond repair. AI can remove the risk of buying expensive products on the market with a true analysis of their condition. →  Smart recalls:  When a defective product goes out, it can be halted almost instantly, rather than forcing tons of waste into the market. →  Market gap analysis:  Current manufacturing is “spray and pray.” AI can do market gap analysis that finds the supply and demand all over the world. →  Billionaire’s assistant:  Only billionaires have the luxury of having full-time gophers. AI allows everyone the same luxury. It knows your weight, height, size, likes, dislikes, and desires. And it’s constantly in communication with a

  This year, artificial intelligence (AI) programs are invading just about every industry you can think of.  By digging through huge amounts of data and making their own intelligent decisions, these ultra-smart programs are saving companies a fortune.  Most people outside the energy sector don’t fully understand just how much goes to waste. Experts typically agree that nearly 70% of all power generated worldwide is wasted through some form of “inefficiency.”  Considering the amount of money spent on energy, that’s frankly unacceptable. However, that’s the standard we’re forced to accept.  AI is already helping these companies in the energy sector unlock their hidden wealth.  By using predictive models and intelligent optimization software, every corner of the market is getting a much-needed upgrade. Power plant operators are saving boatloads of money that was previously left on the table.  Utilities are wasting less and providing better service for customers.  But most importantly of a

Still don’t believe that generative AI is breaking new ground? When was the last time you saw a   human   make a $100 billion mistake? Google   showed off   its answer to ChatGPT-infused Bing this week and things went…worse than expected. In an advertisement Google released on Monday touting its new AI chatbot, Bard, the system made a factual error, confidently asserting that the James Webb Space Telescope snapped “the very first image of a planet outside our solar system”—although the milestone was actually reached 17 years before the JWST launched. In response to the mistake, the company highlighted its rigorous testing process for Bard…which is kicking off this week. But between that and a hastily staged event (coming one day after Microsoft impressed with its souped-up Bing), Alphabet shares dropped ~8% yesterday, the most in over three months. Zoom out:  Bard’s confident wrongness isn’t uncommon in generative AI—ChatGPT’s ability to be boldly inaccurate is well documented. The sys

  How it works noise.AI converts high-resolution acoustic data into actionable insights. It can be deployed in automated analytics applications in the cloud, on-premises or in hardware at the sensor (edge) when a high-bandwidth network is not available. Because the technology is sensor and platform agnostic, it can be integrated with your existing measurement and control system. You can implement noise.AI at low risk and cost through a free demo including analysis of your site's historical noise levels and noise management actions, followed by a monthly subscription without setup fee. Classifies sounds as they are sensed, providing deeper and more timely insight that enables bolder noise management action Unlocks missed production opportunities, avoiding restrictions by false alarms and overly conservative curtailment while maintaining compliance Relieves analysis burden and allows operators to focus on managing production-related noise levels by eliminating the ‘noise’ in the data