Artificial Intelligence Applications Agriculture
The relationship between AI and digital marketing
During previous years, marketers were hesitant to apply artificialintelligence to their marketing strategies. But now, many successful brandshave adopted it and use it within their marketing, with brands like Amazon andSpotify using AI systems successfully.For example, Amazon uses AI to show only relevant products to shoppers, basedon previous searches, purchases and views. This can increase the likelihoodthat a shopper makes an initial purchase or becomes a repeat customer, withthe personalized experience being highly sought after.AI as part of digital marketing is now a reality, offering a range of benefitsand options. Let’s see how exactly we can use artificial intelligence in ourdigital marketing.
How AI is transforming digital marketing?
With the ability to collect data, analyze it, apply it and then react to it,AI is revolutionizing digital marketing. As the amount of information onpotential consumers grows, AI will become more important due to its ability tomake data-based decisions quickly and accurately. Here are some ways AI ischanging digital marketing:
3. AI digital advertising
There is no doubt that digital advertising is one of the most successful areasto have adopted artificial intelligence. It used across platforms likeFacebook, Google and Instagram in order to provide the best possibleexperience. These platforms analyze users’ information, including gender, age,interests, demographics, and other aspects to show them the most relevantadvertisements, improving the performance of digital ads.According to eMarketer, digital ad spend worldwide was estimated to be $273.29billion in 2018 and this is expected to increase further. With AI technology,marketers can spot microtrends and even predict trends. They can then makestrategic decisions about where they allocate their budgets and who theytarget. As a result, brands can reduce digital advertising waste and ensurethat their spend delivers the best possible results.
Artificial Intelligence Applications: Marketing
Marketing is a way to sugar coat your products to attract more customers. We,humans, are pretty good at sugar coating, but what if an algorithm or a bot isthere solely for the purpose of marketing a brand or a company? It would do apretty awesome job!In the early 2000s, if we searched an online store to find a product withoutknowing it’s exact name, it would become a nightmare to find the product. Butnow when we search for an item on any e-commerce store, we get all possibleresults related to the item. It’s like these search engines are reading ourminds! In a matter of seconds, we get a list of all relevant items. An exampleof this is finding the right movies on Netflix.Artificial Intelligence Applications – AI in MarketingOne reason why we’re all obsessed with Netflix and chill is because, Netflixprovides highly accurate predictive technology based on customer’s reactionsto films. It examines millions of records to suggest shows and films that youmight like based on your previous actions and choices of films. As the dataset grows, this technology is getting smarter and smarter every day.With the growing advancement in AI, in the near future, it may be possible forconsumers on the web to buy products by snapping a photo of it. Companies likeCamFind and their competitors are experimenting this already.
Artificial Intelligence Applications: Finance
Ventures have been relying on computers and data scientists to determinefuture patterns in the market. Trading mainly depends on the ability topredict the future accurately.Machines are great at this because they can crunch a huge amount of data in ashort span. Machines can also learn to observe patterns in past data andpredict how these patterns might repeat in the future.In the age of ultra-high-frequency trading, financial organizations areturning to AI to improve their stock trading performance and boost profit.Artificial Intelligence Applications – AI in FinanceOne such organization is Japan’s leading brokerage house, Nomura Securities.The company has been reluctantly pursuing one goal, i.e. to analyze theinsights of experienced stock traders with the help of computers. After yearsof research, Nomura is set to introduce a new stock trading system.The new system stores a vast amount of price and trading data in its computer.By tapping into this reservoir of information, it will make assessments, forexample, it may determine that current market conditions are similar to theconditions two weeks ago and predict how share prices will be changing a fewminutes down the line. This will help to take better trading decisions basedon the predicted market prices.
Artificial Intelligence Applications: Agriculture
Here’s an alarming fact, the world will need to produce 50 percent more foodby 2050 because we’re literally eating up everything! The only way this can bepossible is if we use our resources more carefully. With that being said, AIcan help farmers get more from the land while using resources moresustainably.Issues such as climate change, population growth, and food security concernshave pushed the industry into seeking more innovative approaches to improvecrop yield.Organizations are using automation and robotics to help farmers find moreefficient ways to protect their crops from weeds.Artificial Intelligence Applications – AI in AgricultureBlue River Technology has developed a robot called See & Spray which usescomputer vision technologies like object detection to monitor and preciselyspray weedicide on cotton plants. Precision spraying can help preventherbicide resistance.Apart from this, Berlin-based agricultural tech start-up called PEAT, hasdeveloped an application called Plantix that identifies potential defects andnutrient deficiencies in the soil through images.The image recognition app identifies possible defects through images capturedby the user’s smartphone camera. Users are then provided with soil restorationtechniques, tips, and other possible solutions. The company claims that itssoftware can achieve pattern detection with an estimated accuracy of up to95%.
Artificial Intelligence Applications: Gaming
Over the past few years, Artificial Intelligence has become an integral partof the gaming industry. In fact, one of the biggest accomplishments of AI isin the gaming industry. DeepMind’s AI-based AlphaGo software, which is famous for defeating Lee Sedol,the world champion in the game of GO, is one of the most significantaccomplishment in the field of AI.Shortly after the victory, DeepMind created an advanced version of AlphaGocalled AlphaGo Zero which defeated the predecessor in an AI-AI face off.Unlike the original AlphaGo, which DeepMind trained over time by using a largeamount of data and supervision, the advanced system, AlphaGo Zero taughtitself to master the game.Other examples of Artificial Intelligence in gaming include the FirstEncounter Assault Recon, popularly known as F.E.A.R, which is a first-personshooter video game.But what makes this game so special? The actions taken by the opponent AI are unpredictable because the game isdesigned in such a way that the opponents are trained throughout the game andnever repeat the same mistakes. They get better as the game gets harder. Thismakes the game very challenging and prompts the players to constantly switchstrategies and never sit in the same position.
Artificial Intelligence Applications: Chatbots
These days Virtual assistants have become a very common technology. Almostevery household has a virtual assistant that controls the appliances at home.A few examples include Siri, Cortana, which are gaining popularity because ofthe user experience they provide.Amazon’s Echo is an example of how Artificial Intelligence can be used totranslate human language into desirable actions. This device uses speechrecognition and NLP to perform a wide range of tasks on your command. It cando more than just play your favorite songs. It can be used to control thedevices at your house, book cabs, make phone calls, order your favorite food,check the weather conditions and so on.Another example is the Google’s virtual assistant called Google Duplex, thathas astonished millions of people. Not only can it respond to calls and bookappointments for you, but it also adds a human touch.The device uses Natural language processing and machine learning algorithms toprocess human language and perform tasks such as manage your schedule, controlyour smart home, make a reservation and so on.
Artificial Intelligence Applications: Social Media
Ever since social media has become our identity, we’ve been generating animmeasurable amount of data through chats, tweets, posts and so on. Andwherever there is an abundance of data, AI and Machine Learning are alwayspresent.In social media platforms like Facebook, AI is used for face verificationwherein machine learning and deep learning concepts are used to detect facialfeatures and tag your friends. Deep Learning is used to extract every minutedetail from an image by using a bunch of deep neural networks. On the otherhand, Machine learning algorithms are used to design your feed based on yourinterests.Another such example is Twitter’s AI, which is being used to identify hatespeech and terroristic language in tweets. It makes use of Machine Learning,Deep Learning, and Natural language processing to filter out offensivecontent. The company discovered and banned 300,000 terrorist-linked accounts,95% of which were found by non-human, artificially intelligent machines.
Artificial Intelligence Applications: Artificial Creativity
Have you ever wondered what would happen if an artificially intelligentmachine tried to create music and art? An AI-based system called MuseNet can now compose classical music that echoesthe classical legends, Bach and Mozart.MuseNet is a deep neural network that is capable of generating 4-minutemusical compositions with 10 different instruments and can combine styles fromcountry to Mozart to the Beatles.MuseNet was not explicitly programmed with an understanding of music, butinstead discovered patterns of harmony, rhythm, and style by learning on itsown.Another creative product of Artificial Intelligence is a content automationtool – Wordsmith. Wordsmith is a natural language generation platform that cantransform your data into insightful narratives.Tech giants such as Yahoo, Microsoft, Tableau, are using WordSmith to generatearound 1.5 billion pieces of content every year.
How Artificial Intelligence Works in Film-Making
Artificial Intelligence Companies Making Waves in the Film-Making IndustryData drives artificial intelligence. In any industry, including film-making,data can be explored (or “mined”) to reveal patterns, trends, and userpreferences. Typically, computers equipped with AI are capable of gobbling upmassive amounts of data. They can then analyze the data to create remarkablesolutions and products. The difference between artificial intelligence andsimple computing is the presence of human inputs from the start. Given humaninstructions about how to assess data, artificial intelligence systems canthen use these rules to self-learn.When it comes to the future of artificial intelligence in film-making, plentyof data exists. After all, films have been around for many decades, generatingtons of data for artificial intelligence systems. Movie data may includeartificial intelligence inputs such as box office revenues, production costs,and audience demographics. Likewise, information about the director,screenplay writer, cinematographer, and many other details are available. Itis therefore little surprise that many innovative artificial intelligencecompanies are making their presence known in the film industry.
Digital Marketing and Advertising
Source: ShutterstockAI In Marketing Summit discovers the latest AI advancements and how toleverage computer vision to take advertising and marketing to a brand newlevel. Among the topics is fraud detection, targeted marketing campaigns, SEOand personalized ads. The event is not only good for discovering the businessvalue of Artificial intelligence but also growing your network.Date: 17-18th Sep 2020 Location: London, UKMarketing Artificial Intelligence Conference aims to help marketing leadersunderstand, pilot and scale AI. The conference is aimed to provide digitalmarketing managers with ideas on how to utilize AI for increasingproductivity, generating greater ROI and boosting revenue. Come and learn moreabout computer vision, AI assistants for marketing and sales, conversationalAI in search, big data driving brands growth and so on.Date: 14-16th Jun 2020 Location: Cleveland, OH