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Artificial Intelligence for businesses (enterprise intelligence):

πŸ”‰ Audio

Capio β€” language transcription and recognition
Clover Intelligence β€” ?
Deepgram β€” transcribes insights from phone calls, video footage, and online
Gridspace β€” discover more customer and employee conversations
MindMeld β€” advanced AI to power conversational interface
Nexidia β€” turns customer interactions into valuable insights
Pop Up Archive β€” makes sound searchable
TalkIQ β€” critical insights about your customers conversations
Twilio β€” building blocks to add messaging, voice, and video to web+apps

πŸ“Š Business Intelligence & Analytics

Arago/HIRO β€” optimise and autonomously IT and business operations
Arimo
 β€”behavioural AI for IoT
Ayasdi β€” a suite of intelligent applications for enterprise
DataRobot β€” a range of products to improve enterprise products
Dataminr β€” discovers events and breaking information before the news
Electra by Lore β€” helps you to answer questions about your business
Einstein β€” a smarter Salesforce
Fuzzy AI β€” adds intelligent decision making to web and mobile apps
Logz.io β€” helps you index, search, visualise and analyse your data
NXT AI β€” is a framework for temporal pattern recognition and prediction
Paxata β€” to transform raw data into useful information automatically
Poweredby.ai β€” helps you monitor server bugs
Sundown β€” automates repetitive tasks within your business
UBIX β€” making complex data science easy for enterprise


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Artificial Intelligence and the fourth industrial revolution has made some considerable progress over the last couple of years. Most of this current progress that is usable has been developed for industry and business purposes, as you’ll see in coming posts. Research institutes and dedicated, specialized companies are working toward the ultimate goal of AI (cracking artificial general intelligence), developing open platforms and the looking into the ethics that follow suit. There are also a good handful of companies working on AI products for consumers, which is what we’ll be kicking this series of posts off with.

Artificial intelligence is like climbing a tree to try and reach the moon; one can report steady progress, all the way to the top of the tree.

As a note: a few of the products haven’t launched yet, and may be still in Beta, though are exciting ideas, well backed or look promising. Most you can use now.

Let me know your feedback (including any edits, adds and removals)

I’ve highlighted some of my favourites, enjoy β€”!

Supported (and made intelligent) by:


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Secularism. ... One form of secularism is asserting the right to be free from religious rule and teachings, or, in a state declared to be neutral on matters of belief, from the imposition by government of religion or religious practices upon its people. The reason that this is an important argument is because the United States is a secular society, which means that the social structure is not based on or tied to any one particular religion. In sociology, the process by which a society moves away from a religious framework or foundation is known as secularization.


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As architects , many of us have grown from highly technical positions

where our success was derived mainly from our ability to talk to machines.

However, in the role of architect much of our communication is now done with

our fellow human beings. Whether it’s talking to developers about the benefits

of employing a specific pattern, or explaining to management the cost-benefit

tradeoffs of buying middleware, communication is core to our success.

Architects Must know and undestand:


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