Artificial Intelligence design studios are opening everywhere, adding to our marketing technology stack choices. Many platforms have already integrated components of AI into their existing marketing system offerings.
Clients need to transform digitally, squared
Today, clients are asking digital marketing and advertising agencies like Overdrive to embrace more technological change, as their marketing tech stacks grow larger and evolve in sophistication.
Digital-first marketers have helped push advances via these AI technologies by recognizing how reducing friction in a buyers journey improves customer experience, promoting greater revenue and retention.
Artificial Intelligence Marketing
Future of marketing artificial intelligence
AI marketing opportunities include using: Image Analysis, Speech Processing, Natural Language Processing (NLP), Natural Language Generation(NLG), Machine Learning, and Neural Networks.
Last year an AI learned to win at poker. Today, chatbots are conversing more human like, and AI for images can identify people, places, and things. For marketers, this translates to speedier interfacing with humans and better understanding their online behaviors.
Neural Network Marketing
Looking at neuroscience in marketing we see the building of artificial computational systems, based on biological mimicry.
There is an input layer, a hidden layer and an output layer that comprises a neural network attempting to mimic our brains in decision-making.
Neuromarketing and consumer neuroscience assisted advances with Neuromorphic chip sets used in neural networks are segmenting and targeting users in new and improved ways for digital marketers.
Neural network marketing platforms
Artificial intelligence marketing solutions
Facebook uses its neural network DeepText to recognize events, people, places and more. Facebook is working on capabilities of its neural network to identify slang and word-sense disambiguation.
Artificial intelligence marketing research infused Nielsen has created more than 60,000 built-in key audience segments. Now you can automate audience model creation with Nielsen Artificial Intelligence (Nielsen AI), built into Nielsen’s DMP.
Artificial intelligence in online marketing
Adobe built an Artificial Intelligence platform named Senesi which identifies elements in a photo. The platform can also detect facial features, allowing you to change expressions or perspectives. Adobe Creative Cloud, helps you find images, or edit video transitions seamlessly.
Google’s TensorFlow open-source software library for machine intelligence technology helps power their search engine through RankBrain, used in every search performed on their platform . Similar technology also powers Google Photos and Voice. Google Home voice assistant uses both NLP and NLG as Dave Gershgorn explained in a Quartz piece on how Google Home works.
“The system is Google’s second official generation of the technology, which consists of two deep neural networks. The first network translates the text into a spectrogram, a visual way to represent audio frequencies over time. That spectrogram is then fed into WaveNet, a system from Alphabet’s AI research lab DeepMind, which reads the chart and generates the corresponding audio elements accordingly.”
Chatbots for customer engagement
All this language processing leads us to chatbots which are applications emulating humans using a text or speech interface.
“50% of all searches will be voice searches by 2020” according to comscore
“About 30% of searches will be done without a screen by 2020.” via Mediapos
“We estimate there will be 21.4 million smart speakers in the US by 2020” according to Activate
Talk Data to Me
Siri could have pushed Apple to become the leader in voice and text space had they harnessed voice query sets, yet is now considerably behind Alexa and Ok Google with their mobile and home assistants.
Simple Chatbots vs Intelligent Chatbots
Today, AI chatbots are pretty good at taking orders, delivering scripted responses and warm transferring, but moving forward chatbots need to understand implied instruction sets and be more conversational with their human counterparts. Impact will be better interaction in applications and deliver better business value.
See more artificial intelligence infused companies with our AI Marketing map https://www.ovrdrv.com/artificial-intelligence-map/