Integrated AI Technology

Integrating AI and Blockchain Technologies


Blockchain Technologies

Blockchain technology is already disrupting the way the world views finance and financial systems. Its power is not limited to these sectors, however. In recent years, it has already expanded to digital marketing.

Technology has allowed marketers to track where their ads are placed and ensure that real consumers, rather than automated bots, are clicking on their ads. This makes customer engagement data more reliable and makes sure brands’ marketing assets are not being put to waste.

Consumers can also benefit from the transparent nature of blockchain technology, as it gives them more control over how their personal data should be used by advertisers. When consumer trust increases, the likelihood of them sharing personal information also surges. This helps marketers and companies to know them better.

There are a few game-changing services that can help marketers effectively track marketing efforts through blockchain, making sure that every penny is being put where it’s supposed to go. While this would mean additional expenses, the return on investment makes it worth the extra dollars by making sure every ad reaches the target audience.

Uses of Blockchain Technology

Because blockchains are a virtual ledger, one can use this technology for all sorts of things other than money. Below are 10 potential everyday uses for blockchains that will definitely change the world according to one author on Steemit.

Black Chain Technology

1. Decentralised Internet. Programmers are currently working on decentralised internet platforms to distribute all the functions of the internet over distributed nodes which will increase the resiliency of the world wide web.

2. Smart Contracts. Smart contracts can be built on top of a ledger and operate as decentralised applications. These programs can run functions which are becoming more sophisticated and may diminish the need for standard legal contracts.

3. Decentralised Markets. One challenge with cryptocurrencies such as Bitcoin is the need to trade on centralized exchanges which can be shut down or hacked. Decentralised markets allow trading without having to trust a third party.

4. Distributed Cloud Storage. Distributed cloud storage avoids the need to place faith in large centralized companies where personal data is vulnerable and pricing may escalate to cover the expanding number of data servers.

5. Decentralised Social Networking Sites. Social networking sites are centralized and are prone to censorship of information. Decentralised social media platforms such as Steemit mitigate this and financially reward the content creators.

6. Encrypted Messaging. Peer to peer messaging can leverage blockchain technology to encrypt messages and store data bits efficiently on many different computers where they can only be accessed with a private key.

7. Proof of Ownership. Items that are purchased could be tracked on the blockchain to demonstrate proof of ownership and to prevent the sale of stolen goods which may eventually help to reduce crime.

8. Authenticated Voting. While digital voting can be susceptible to tampering, blockchain voting technology is verifiable and would allow anybody to audit the blockchain to confirm votes are time stamped and legitimate.

9. Stock exchange. In traditional stock market there is typically a delay of 2–3 days for settlement of stocks and bonds. Trading stocks on a blockchain is more cost effective and provides instant settlement.

10. Real Estate. Property titles, transactions and historic value can be built onto the blockchain providing transparency and reducing the time and cost associated with real estate transactions.

Block chain reference

Integrating AI

AI grips great potential for making marketing more intelligent, efficient, consumer-friendly, and, ultimately, more effective. Perhaps more pointedly, though, AI will soon move from being a “nice-to-have” capability to a “have-to-have.” AI is just a requirement for making sense of the vast arrays of data.

Integrated AI

The digital marketing industry is hopeful about AI's potential. In a recent Demand base review conducted among 500 B2B marketing executives, 80% said AI would revolutionize marketing by 2020. However, only 10% of the marketers surveyed use AI and only 26% completely understand how to integrate and implement AI into their marketing campaigns.

Integrating AI in Marketing

For small industries looking to raise, excellence marketing can be the most valuable tool there is, and AI can help you in that regard as well. High-powered marketing solutions through platforms such as Acquisto and Bookmark apply artificial intelligence to construct targeted customer messaging. AI can also speedily deliver audience performance and demographic info, and businesses that don’t accept it risk dropping behind. Smart marketers are developing, partnering to build, or integrating AI into their tech stacks to get improved at what they do.

AI is already existence used in ad targeting and consumer segmentation, but there are more possibilities in store such as:

  1. • AI-powered chatbots use all the customer data at their disposal to answer queries and give advice to customers considering making a purchase.
  2. • AI-enhanced image search allows users to upload images of products they are attracted in, to find relevant shopping ideas. For example, companies such as CamFind let you snap a image of something in the physical world, and get information related to it. Say you see a poster for a movie you’d like to see. Snap a photo, and CamFind will show you movie recommendations, times, and locations.
  3. • Personalized training routines and nutrition information can be created based on data from other consumers with similar lifestyles. For example, UnderArmour leveraged IBM Watson’s AI to create a “personal health consultant” that provides users with timely, evidence-based coaching around sleep, fitness, activity, and nutrition.
  4. • Optimized advertising uses AI to make decisions based on the full range of data available — including unstructured data such as sentiment and mood. For example, IBM, this time as a corporate marketer, teamed up with MediaMath (where I am the CMO/CSO) to activate true AI-driven programmatic marketing using its Watson Cognitive Bidder, to extract predictive signals from exposure to large amounts of data.

Integrating AI in Administration

AI tools can even help entrepreneurs manage time-consuming administrative tasks. Advanced software utilizing robotic process automation (RPA) can admission multiple systems (think record keeping and banking tools) and serve as the go-between when making transferring data transactions and even interpreting secret legal documents.

The digital marketing industry is optimistic about AI's potential. In a recent Demand base survey conducted among 500 B2B marketing executives, 80% said AI would revolutionize marketing by 2020. Though, only 10% of the marketers measured use AI and only 26% completely understand how to integrate and implement AI into their marketing campaigns.

Integrating AI in Mobile Marketing

What app owners and mobile marketers really want is to convert ads into interesting and interactive pieces in order to attract customers. Artificial Intelligence will do the job. Since ads will be tailored to users’ needs, they will be created especially for connecting customers with the solutions for their problems. This way AI will increase efficiency in applying marketing strategies, by defining patterns for better targeting. It will use past data for current and future users. AI will help marketers to understand users’ preferences and the right timing for every approach. It is not enough to understand customers’ needs, it is very important to discover when you need to accomplish them. We mentioned before that one challenge of using programmatic advertising is the need for more accurate data. Well, Artificial Intelligence is about to fix that.

Integrated AI reference

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