jonathanmv

https://www.accenture.com/us-en/services/ai-artificial-intelligence-index#accordion-a201b94849-item-968a740a6d

INPUT

Frequently asked questions

What are examples of AI services? With the post pandemic migration to cloud enabling businesses to do more with their data, both the opportunities and challenges associated with AI have grown more complex. For many organizations (banks, for example) AI is not part of their core competencies—and that’s where AI services can help.

Artificial Intelligence consulting services help businesses identify where AI could make them more efficient, more profitable, or open up new revenue streams, and then help them implement AI through strategies, operating models and change management programs. AI services also support the integration of AI solutions into core business functions and processes. Specific examples include: AI for marketing, helping companies get more out of their marketing spend using data and AI; or AI for processing, helping companies process information o

jonathanmv

#include <AFMotor.h>

AF_DCMotor left(3); // This is M3
AF_DCMotor right(4); // This is M4

// Stops both wheels
void stop() {
  left.run(RELEASE);
  right.run(RELEASE);
}

jonathanmv

version: '2.1'
# from https://github.com/simplesteph/kafka-stack-docker-compose/blob/master/full-stack.yml
services:

  schema-registry-ui:
    restart: always
    image: landoop/schema-registry-ui:0.9.4
    hostname: kafka-schema-registry-ui
    ports:
    - "8001:8000"

jonathanmv

############################# Server Basics #############################

# The id of the broker. This must be set to a unique integer for each broker.
broker.id=1
# change your.host.name by your machine's IP or hostname
## the name is zookeeper because that's what's registered in route53
advertised.listeners=PLAINTEXT://zookeeper-0.ecs-firecamp.com:9092

# Switch to enable topic deletion or not, default value is false
delete.topic.enable=true

jonathanmv

#!/bin/bash
#/etc/init.d/kafka
#chkconfig: - 99 10
DAEMON_PATH=/home/ec2-user/kafka_2.11-2.0.0/bin
DAEMON_NAME=kafka
# Check that networking is up.
#[ ${NETWORKING} = "no" ] && exit 0

PATH=$PATH:$DAEMON_PATH

jonathanmv

const ghpages = require('gh-pages')
console.log('Publishing GitHub Pages...')

ghpages.publish('dist', () => console.log('Published.'))

jonathanmv

const l = console.log.bind(console)
const a = () => new Promise(resolve => setTimeout(() => resolve('done'), 1000))
const b = () => new Promise((_, reject) => setTimeout(() => reject('error'), 1000))
const c = async () => {
  (await a()).then(l)
  (await b()).catch(l)
}
c().then(() => l(`it can be done!!`))
  .catch(({message}) => l(`Sorry dude: ${message}`))

jonathanmv

const makeVideo = async (username, postId) => {
  const analysis = await mediumHelper.getUserPostAnalysis(username, postId)
  const speechPath = await awsHelper.saveSpeechLocally(analysis)
  const screenshotPath = await mediumHelper.saveUserPostScreenshotLocally(username, postId)
  return mediaHelper.createVideo(screenshotPath, speechPath)
}

jonathanmv

const webshot = require('webshot')
const util = require('util')
const exec = util.promisify(require('child_process').exec)

const screenshot = (url, file) => new Promise((resolve, reject) => {
  const screenSize = { width: 1920, height: 1080 }
  webshot(url, file, { screenSize }, error => {
    if (error) {
      return reject(error)
    }

jonathanmv

const saveSpeechLocally = text => getSpeech(text).then(saveSpeech)

const getSpeech = text => {
  const Text = cleanText(text)
  const OutputFormat = 'mp3'
  const VoiceId = 'Kimberly'
  const params = { Text, OutputFormat, VoiceId }
  return polly.synthesizeSpeechAsync(params)
}