投稿時間:2021-10-22 09:44:14 RSSフィード2021-10-22 09:00 分まとめ(60件)

カテゴリー等	サイト名等	記事タイトル・トレンドワード等	リンクURL	頻出ワード・要約等/検索ボリューム	登録日
IT	気になる、記になる…	Microsoft、｢Surface Studio 2｣向けに2021年10月度のファームウェアアップデートをリリース	https://taisy0.com/2021/10/22/147792.html	microsoft	2021-10-21 23:57:27
IT	気になる、記になる…	Microsoft、｢Surface Pro 7｣向けに2021年10月度のファームウェアアップデートをリリース	https://taisy0.com/2021/10/22/147784.html	microsoft	2021-10-21 23:55:41
IT	気になる、記になる…	Microsoft、｢Windows 10 Insider Preview build 22483｣のISOファイルを公開	https://taisy0.com/2021/10/22/147789.html	insiderpreviewbuild	2021-10-21 23:19:00
IT	気になる、記になる…	Microsoft、「Windows 10 November 2021 Update」をRelease Previewチャネル向けに提供開始 – ISOファイルも	https://taisy0.com/2021/10/22/147785.html	windowsinsi	2021-10-21 23:11:14
TECH	Engadget Japanese	サムスンSSD 980 Proにヒートシンクつきモデル、PS5にそのまま増設可	https://japanese.engadget.com/ps5-ssd-980-pro-samsung-232243249.html	samsungssdprowithheatsink	2021-10-21 23:22:43
TECH	Engadget Japanese	1677万色に光るマスクRazer Zephyr発売、即完売。N95フィルタと電動ファン搭載	https://japanese.engadget.com/razer-zephyr-mask-wearable-air-purifier-mask-230007532.html	projecthazel	2021-10-21 23:00:07
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] 青山商事、リサイクル素材を使ったスーツ発売　“羊のストレス”を抑えたウールを使用	https://www.itmedia.co.jp/business/articles/2110/22/news046.html	itmedia	2021-10-22 08:50:00
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] コンビニも注目する「カレーパン」ブームのなぜ　専門家が指摘する“必然性”とは	https://www.itmedia.co.jp/business/articles/2110/21/news035.html	ITmediaビジネスオンラインコンビニも注目する「カレーパン」ブームのなぜ専門家が指摘する“必然性とはカレーパンブームが起きている。	2021-10-22 08:30:00
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] 代官山が「世界で最もクールな街」35位に選出　理由は？	https://www.itmedia.co.jp/business/articles/2110/22/news051.html	itmedia	2021-10-22 08:20:00
TECH	Techable（テッカブル）	AI英会話アプリとして初！ スピークバディ、2021年度グッドデザイン賞を受賞	https://techable.jp/archives/164958	公益財団法人	2021-10-21 23:00:06
AWS	AWS Big Data Blog	Stream data from relational databases to Amazon Redshift with upserts using AWS Glue streaming jobs	https://aws.amazon.com/blogs/big-data/stream-data-from-relational-databases-to-amazon-redshift-with-upserts-using-aws-glue-streaming-jobs/	Stream data from relational databases to Amazon Redshift with upserts using AWS Glue streaming jobsTraditionally read replicas of relational databases are often used as a data source for non online transactions of web applications such as reporting business analysis ad hoc queries operational excellence and customer services Due to the exponential growth of data volume it became common practice to replace such read replicas with data warehouses or data lakes …	2021-10-21 23:15:56
AWS	AWS	Authenticating Amazon RDS for SQL Server using Kerberos | Amazon Web Services	https://www.youtube.com/watch?v=cBPzWCIhero	Authenticating Amazon RDS for SQL Server using Kerberos Amazon Web ServicesThis video explains how to use Kerberos to authenticate Amazon RDS SQL Server Learn more about Amazon RDS for SQL Server at Subscribe More AWS videos More AWS events videos ABOUT AWSAmazon Web Services AWS is the world s most comprehensive and broadly adopted cloud platform offering over fully featured services from data centers globally Millions of customers ーincluding the fastest growing startups largest enterprises and leading government agencies ーare using AWS to lower costs become more agile and innovate faster AmazonRDS AWS AmazonWebServices CloudComputing	2021-10-21 23:18:34
AWS	AWS	Amazon Transcribe video snacks: Use content redaction to identify & redact PII | Amazon Web Services	https://www.youtube.com/watch?v=4H8dQoeLkyM	Amazon Transcribe video snacks Use content redaction to identify amp redact PII Amazon Web ServicesAmazon Transcribe is an automatic speech recognition ASR service that makes it easy to add speech to text capabilities to any application Amazon Transcribe can help customers identify and redact sensitive personally identifiable information PII from transcripts in the supported languages This provides customers with a toolkit to protect sensitive user data and comply with local privacy laws regulations In this video we ll be seeing this feature in action for both streaming and batch transcriptions Learn more PII Redaction Documentation Machine Learning Blog Getting Started with Privacy Transcriptions Subscribe More AWS videos More AWS events videos ABOUT AWSAmazon Web Services AWS is the world s most comprehensive and broadly adopted cloud platform offering over fully featured services from data centers globally Millions of customers ーincluding the fastest growing startups largest enterprises and leading government agencies ーare using AWS to lower costs become more agile and innovate faster AWS AmazonWebServices CloudComputing AWSDemos	2021-10-21 23:09:59
python	Pythonタグが付けられた新着投稿 - Qiita	Athenaで基礎からしっかり入門 分析SQL（Python・Pandasコード付き）#6	https://qiita.com/simonritchie/items/2af966f3d72887f8b53c	Pythonでの書き方rollingを使わずにスライスでPARTITIONBYのような制御をしたとして、例のごとく色々書き方はありますが数行後の値を取りたい場合の書き方の一例としては以下のコードではデータフレームのカラムにインデックスを設定する事前にresetindexでインデックスをリセットしておくインデックスのカラムでapplyメソッドを使い、且つapplyメソッドではキーワード引数なども指定できるので対象の配列を指定するn行後の行が存在すればその値、存在しなければnanを返却というようにapplyメソッドで指定した関数内を実装するといった形で対応しています。	2021-10-22 08:46:39
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	AWSのCloud9のEnviromentを起動させたい。	https://teratail.com/questions/365624?rss=all	cloud	2021-10-22 08:59:01
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	import argparseで使われる、args = parser.parse_args()のエラーを解決したいです。	https://teratail.com/questions/365623?rss=all	importargparseで使われる、argsparserparseargsのエラーを解決したいです。	2021-10-22 08:47:08
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Servletでのファイルダウンロード機能のテストケースについて	https://teratail.com/questions/365622?rss=all	Servletでのファイルダウンロード機能のテストケースについて下記のようなファイルダウンロードメソッドのテストケースを作成したいです。	2021-10-22 08:42:02
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	大古のプログラムをWin10で動かそうとしたらエラーがでた	https://teratail.com/questions/365621?rss=all	大古のプログラムをWinで動かそうとしたらエラーがでた前提・実現したいこと。	2021-10-22 08:41:26
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	SQLの値をforeachで表示さると重複して表示されてしまいます。	https://teratail.com/questions/365620?rss=all	テストデータでの販売数は個ですが、「販売数」と表示されます。	2021-10-22 08:17:36
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	グーグルマップを利用したアプリ開発について	https://teratail.com/questions/365619?rss=all	グーグルマップを利用したアプリ開発について〇開発環境iOSnbsp〇作りたいものカフェ検索アプリ〇イメージnbsp現在地から〇〇m圏内にあるカフェにピンが刺さる。	2021-10-22 08:12:12
AWS	AWSタグが付けられた新着投稿 - Qiita	Athenaで基礎からしっかり入門 分析SQL（Python・Pandasコード付き）#6	https://qiita.com/simonritchie/items/2af966f3d72887f8b53c	Pythonでの書き方rollingを使わずにスライスでPARTITIONBYのような制御をしたとして、例のごとく色々書き方はありますが数行後の値を取りたい場合の書き方の一例としては以下のコードではデータフレームのカラムにインデックスを設定する事前にresetindexでインデックスをリセットしておくインデックスのカラムでapplyメソッドを使い、且つapplyメソッドではキーワード引数なども指定できるので対象の配列を指定するn行後の行が存在すればその値、存在しなければnanを返却というようにapplyメソッドで指定した関数内を実装するといった形で対応しています。	2021-10-22 08:46:39
海外TECH	Ars Technica	Tom Holland is a dashing young fortune hunter in Uncharted trailer	https://arstechnica.com/?p=1806591	games	2021-10-21 23:26:32
海外TECH	Engadget	The new 16-inch MacBook Pro offers a speed-enhancing 'High Power Mode'	https://www.engadget.com/apple-16-inch-macbook-pro-high-power-mode-m1-max-232408937.html?src=rss	The new inch MacBook Pro offers a speed enhancing x High Power Mode x The redesigned MacBook Pro might be more powerful than you think provided you have the right configuration Apple has confirmed to Engadget and MacRumors that the inch MacBook Pro with an M Max chip can invoke a previously hinted at quot High Power Mode quot While the company was shy on details macOS Monterey beta code suggested the mode would quot optimize performance quot for demanding tasks in return for the possibility of more fan noise This could be frustrating if you buy either the inch MacBook Pro or a inch system with the M Pro This isn t surprising though Features like this by their nature drive up power consumption and heat and Apple may want to make sure there s enough battery and thermal headroom that is a larger enclosure The M Max is also a better fit for a mode like this than the M Pro ーthere s simply more performance to unlock If you do buy a higher end MacBook Pro though this could be particularly helpful Many pro users have moments when they need performance at all costs such as a hurried video export or last minute code compile High Power Mode might help finish those tasks on time while putting a ceiling on noise in most situations	2021-10-21 23:24:08
海外科学	NYT > Science	C.D.C. Panel Recommends Covid Booster Shots for Millions of Americans	https://www.nytimes.com/2021/10/21/health/covid-vaccine-boosters-cdc.html	C D C Panel Recommends Covid Booster Shots for Millions of AmericansRecipients of the Moderna and the J amp J vaccines may receive extra doses the committee said although the shots continue to prevent illness and death	2021-10-21 23:37:30
金融	金融総合：経済レポート一覧	非伝統的手段としての金利政策の評価と課題～マイナス金利やイールド・カーブ・コントロールは活用可能な政策手段たり得るか：JRIレビュー Vol.10, No.94	http://www3.keizaireport.com/report.php/RID/472333/?rss	volno	2021-10-22 00:00:00
金融	金融総合：経済レポート一覧	FSBレポ統計の日本分集計結果（2021年9月）	http://www3.keizaireport.com/report.php/RID/472334/?rss	日本銀行	2021-10-22 00:00:00
金融	金融総合：経済レポート一覧	主要銀行貸出動向アンケート調査（2021年10月）	http://www3.keizaireport.com/report.php/RID/472335/?rss	主要銀行貸出動向アンケート調査	2021-10-22 00:00:00
金融	金融総合：経済レポート一覧	FX Daily(10月20日)～ドル円、一時3年11ヵ月ぶりの高値まで上昇	http://www3.keizaireport.com/report.php/RID/472336/?rss	fxdaily	2021-10-22 00:00:00
金融	金融総合：経済レポート一覧	中国経済 最悪期脱出の兆候～ただし先を読み過ぎている感は否めない：Market Flash	http://www3.keizaireport.com/report.php/RID/472339/?rss	marketflash	2021-10-22 00:00:00
金融	金融総合：経済レポート一覧	中国恒大の事態収拾に乗り出す当局と中国のシャドーバンキング問題：木内登英のGlobal Economy ＆ Policy Insight	http://www3.keizaireport.com/report.php/RID/472341/?rss	lobaleconomypolicyinsight	2021-10-22 00:00:00
金融	金融総合：経済レポート一覧	米国初のビットコイン先物ETFの取引始まる：原油価格高騰でインフレヘッジのニーズ：木内登英のGlobal Economy ＆ Policy Insight	http://www3.keizaireport.com/report.php/RID/472342/?rss	lobaleconomypolicyinsight	2021-10-22 00:00:00
金融	金融総合：経済レポート一覧	独連銀総裁辞任とＥＣＢの政策姿勢～左派政権が指名する後継総裁はややハト派傾斜か？：Europe Trends	http://www3.keizaireport.com/report.php/RID/472360/?rss	europetrends	2021-10-22 00:00:00
金融	金融総合：経済レポート一覧	JPXレポート 2021	http://www3.keizaireport.com/report.php/RID/472363/?rss	日本取引所グループ	2021-10-22 00:00:00
金融	金融総合：経済レポート一覧	国内コード決済市場に関する調査を実施（2021年）【概要】～2020年度の国内コード決済市場規模は6兆1,216億円まで拡大	http://www3.keizaireport.com/report.php/RID/472369/?rss	市場規模	2021-10-22 00:00:00
金融	金融総合：経済レポート一覧	7大投資テーマから考えるポートフォリオ戦略 （その7）「FIREを目指す」ポートフォリオ戦略 2021	http://www3.keizaireport.com/report.php/RID/472374/?rss	三井住友	2021-10-22 00:00:00
金融	金融総合：経済レポート一覧	語句よみ：地球温暖化を防ぐ枠組みを議論する「COP26」	http://www3.keizaireport.com/report.php/RID/472375/?rss	地球温暖化	2021-10-22 00:00:00
金融	金融総合：経済レポート一覧	【石黒英之のMarket Navi】長期的な視点で有望なNASDAQ100 ～再び史上最高値を窺う米国株...	http://www3.keizaireport.com/report.php/RID/472377/?rss	marketnavi	2021-10-22 00:00:00
金融	金融総合：経済レポート一覧	金融システムレポート（2021年10月号）～金融システムの安定性に関する現状評価、先行きのリスクと留意点、金融機関の課題...	http://www3.keizaireport.com/report.php/RID/472378/?rss	日本銀行	2021-10-22 00:00:00
金融	金融総合：経済レポート一覧	楽読 Vol.1761～世界的な利上げへの動きを背景に、進行した円安	http://www3.keizaireport.com/report.php/RID/472395/?rss	日興アセットマネジメント	2021-10-22 00:00:00
金融	金融総合：経済レポート一覧	デジタル証券が生み出す新たなフロンティアの可能性【要約】	http://www3.keizaireport.com/report.php/RID/472397/?rss	大和総研	2021-10-22 00:00:00
金融	金融総合：経済レポート一覧	金融安定理事会による「サイバー事象報告～既存のアプローチとより広い範囲での収斂に向けた今後のステップ」の公表について	http://www3.keizaireport.com/report.php/RID/472410/?rss	金融安定理事会	2021-10-22 00:00:00
金融	金融総合：経済レポート一覧	みずほ経済・金融マンスリー 2021年10月21日号～世界のワクチン接種動向：アジア・オセアニアを中心に接種ペースが堅調に推移...	http://www3.keizaireport.com/report.php/RID/472424/?rss	Detail Nothing	2021-10-22 00:00:00
金融	金融総合：経済レポート一覧	アジアにおける現地通貨利用拡大に向けた動き：IIMAの目 NO.28	http://www3.keizaireport.com/report.php/RID/472425/?rss	国際通貨研究所	2021-10-22 00:00:00
金融	金融総合：経済レポート一覧	ヒートマップは金融過熱リスクを示したか：日銀金融システムレポート：木内登英のGlobal Economy ＆ Policy Insight	http://www3.keizaireport.com/report.php/RID/472426/?rss	lobaleconomypolicyinsight	2021-10-22 00:00:00
金融	金融総合：経済レポート一覧	【注目検索キーワード】スタグフレーション	http://search.keizaireport.com/search.php/-/keyword=スタグフレーション/?rss	検索キーワード	2021-10-22 00:00:00
金融	金融総合：経済レポート一覧	【お薦め書籍】グリーン・ジャイアント 脱炭素ビジネスが世界経済を動かす	https://www.amazon.co.jp/exec/obidos/ASIN/4166613278/keizaireport-22/	成長戦略	2021-10-22 00:00:00
ニュース	BBC News - Home	US House backs contempt charge for ex-Trump adviser	https://www.bbc.co.uk/news/world-us-canada-59004409?at_medium=RSS&at_campaign=KARANGA	bannon	2021-10-21 23:04:47
ニュース	BBC News - Home	Social care faces tsunami of unmet need - watchdog	https://www.bbc.co.uk/news/health-58997811?at_medium=RSS&at_campaign=KARANGA	commission	2021-10-21 23:07:56
ニュース	BBC News - Home	Gabby Petito: Fiancé Brian Laundrie's remains found - FBI	https://www.bbc.co.uk/news/world-us-canada-59004831?at_medium=RSS&at_campaign=KARANGA	death	2021-10-21 23:24:22
ニュース	BBC News - Home	The Papers: 'Royal health concern' and GP appointment 'row'	https://www.bbc.co.uk/news/blogs-the-papers-59004497?at_medium=RSS&at_campaign=KARANGA	covid	2021-10-21 23:44:30
ニュース	BBC News - Home	Khaby Lame: What is the secret to success for the Senegal-born TikToker?	https://www.bbc.co.uk/news/world-africa-59003020?at_medium=RSS&at_campaign=KARANGA	household	2021-10-21 23:02:33
ニュース	BBC News - Home	Book Week NI: ‘I am the poetry pharmacist’	https://www.bbc.co.uk/news/uk-northern-ireland-58870381?at_medium=RSS&at_campaign=KARANGA	troubles	2021-10-21 23:02:48
ニュース	BBC News - Home	Newcastle United: Why is Saudi Arabia-led takeover controversial?	https://www.bbc.co.uk/news/world-middle-east-58930311?at_medium=RSS&at_campaign=KARANGA	saudi	2021-10-21 23:23:05
ニュース	BBC News - Home	Sex and relationship lessons ‘help pupils feel safe’	https://www.bbc.co.uk/news/education-58913535?at_medium=RSS&at_campaign=KARANGA	primary	2021-10-21 23:18:15
ビジネス	ダイヤモンド・オンライン - 新着記事	ウエスタンデジタルとキオクシアの交渉足踏み＝関係筋 - WSJ発	https://diamond.jp/articles/-/285549	関係筋	2021-10-22 08:25:00
ビジネス	ダイヤモンド・オンライン - 新着記事	中国恒大の苦境、住宅も資産も売れず - WSJ発	https://diamond.jp/articles/-/285550	資産	2021-10-22 08:06:00
LifeHuck	ライフハッカー［日本版］	AndroidにはないiOSの優れた機能8選	https://www.lifehacker.jp/2021/10/202110244395best-ios-features-missing-from-android.html	airplay	2021-10-22 08:30:00
北海道	北海道新聞	中国の“ピアノ王子”拘束　買春で、ショパン優勝者	https://www.hokkaido-np.co.jp/article/602876/	中国メディア	2021-10-22 08:18:04
北海道	北海道新聞	鎌田大地、今季公式戦初ゴール　欧州リーグ、長谷部もフル出場	https://www.hokkaido-np.co.jp/article/602899/	初ゴール	2021-10-22 08:10:00
GCP	Cloud Blog	Coca-Cola Bottlers Japan collects insights from 700,000 vending machines with Vertex AI	https://cloud.google.com/blog/topics/developers-practitioners/coca-cola-bottlers-japan-collects-insights-700000-vending-machines-vertex-ai/	Coca Cola Bottlers Japan collects insights from vending machines with Vertex AICola Cola Bottlers Japan operates about vending machines across JapanJapan is home to millions of vending machines installed on streets and in buildings sports stadiums and other facilities Vending machine owners and operators including beverage manufacturers stock these machines with different product combinations depending on location and demand For example they primarily display coffee and energy drinks in machines placed in offices and sports drinks and mineral water in machines at sports facilities The combinations also vary by season for example owners and operators may display cold beverages in summer and hot beverages in winter  Traditionally vending machine operators have relied on the intuition and experience of sales managers to determine the optimum product mix for each vending machine However in recent years manufacturers such as Coca Cola Bottlers Japan CCBJ have turned to data to analyze and make strategic decisions about when and where to locate products in machines CCBJ is the number one Coca Cola bottler in Asia and vending machines comprise the bulk of its business The organization operates about machines across Tokyo Osaka Kyoto and prefectures Minori Matsuda Google Developer Expert and also Data Science Manager at CCBJ says “The billions of data records collected from physical devices are a great asset and a treasure trove we can take advantage of Minori points out that when considering the mix of products in vending machines in sporting facilities the managers naturally assume sports drinks would generally sell well However analysis of purchase data including hot drinks and hot drinks plus sports drinks found many parents purchased sweet drinks such as milk tea when they attended games or sessions involving their children  “Analyzing data gives us new discoveries and by using catchy storytelling techniques from exploratory data analysis we are instilling a data culture within our company he says “It s worth creating by looking at facts rather than making assumptions Minori believes that to analyze the vast amount of data collected from more than vending machines the business needs a powerful analytical platform However until recently CCBJ had to extract data for analysis from its core systems load this data into a warehouse it created and perform the required analyses  The billions of records of data generated across the fleet including transaction data exposed some challenges for traditional analysis platforms hey could not efficiently process data at considerable scale it could take a day to return results and required extensive maintenance due to the size CCBJ considered building a machine learning ML platform as a layer on top of existing systems in August and opted for Google Cloud the following month   I feel that Google Cloud has an edge in all products and is very well thought out “says Minori noting the scalability and cost of the platform allows the business to take a trial and error approach to achieve the best outcomes from ML Google Cloud also delivered the required visibility and the flexibility to help the business deliver change every day against key performance indicators  MLOps platform streamlines ML pipeline developmentCCBJ built its analysis platform using Vertex AI formerly AI Platform centered on a BigQuery analytics data warehouse and partly using AutoML for tabular data “We have created a prediction model of where to place vending machines what products are lined up in the machines and at what price how much they will sell and implemented a mechanism that can be analyzed on a map says Minori adding that building the platform with Google Cloud was not difficult We were able to realize it in a short period of time with a sense of speed from platform examination to introduction prediction model training on site proof of concept to rollout The data analytics platform with Vertex AI at Coca Cola Bottlers JapanThe new data analytics platform of CCBJ consists of the following parts Data SourcesThe data collected from the vending machines are all stored on BigQuery Data Discovery and Feature EngineeringMinori and other data scientists at CCBJ are using Vertex Notebooks where they access the data on BigQuery by executing SQL queries directly from the Notebooks This environment is used for the data discovery process and feature engineering  ML TrainingFor ML training CCBJ uses AutoML for Tabular data Custom model training on Vertex AI and BigQuery ML AutoML gives model performance with AUC curves and also feature importance graphs ML Prediction and ServingFor ML prediction CCBJ uses Online Prediction for AutoML models and Online Prediction for custom models for real time prediction when the sales person find the interesting pointBatch Prediction is used for generating a large prediction map that covers the whole countryThe prediction results are distributed to sales managers tabletsCCBJ started constructing the platform in September and completed it within a month The business has conducted proofs of concept at its base in Kyoto since February and since April has rolled out the platform to sales managers in prefectures in one metropolitan area Data analysis is built into the day to day routines of sales managers with utilization says Minori “They can utilize the prediction results on tablets that were able to achieve pretty high accuracy from the start The hardest part was the education of sales managers in the field having them understand the reasoning behind the ML prediction results for particular outcomes so they could be convinced to make use of the results For example regarding a new installation location predicted by the model it seemed that there was no effective information for installation from the map information but when I actually went there there was a motorcycle shop and it was a place where young people who like motorcycles gathered says Minori “Or there is a small meeting place where the elderly in the neighborhood are active  “In many cases new discoveries that cannot be understood from map information alone can be derived from the data Minori also points to a phenomenon whereby humans pursued and confirmed factors inferred by the model meaning that once they experienced analysis and it worked effectively they asked why the same type of analysis or prediction could not be undertaken next time The resulting cycle of more inquiries generated more information gathered and more data captured for analysis meant the accuracy of results was improved Sales managers use tablets to access the real time prediction results Minori describes Vertex AI as having a number of strengths in helping CCBJ build a ML data analysis platform One of the major merits of Vertex AI was that we were able to realize MLOps that streamlines the entire development life cycle from construction of the ML pipeline to its execution he says With near real time data analysis through Google Cloud CCBJ teams can spend time developing strategies rather than waiting for data requested from the IT systems department Exploratory data analysis is also considerably easier as repeated trial and error has greatly improved the accuracy of analyses Before we used Machine Learning most machine placement processes were done by human senses by looking at a map to find the suggestion points By using Machine Learning to generate a massive number of placement point suggestions the efficiency of routing of salespeople have been dramatically improved  In the future CCBJ aims to automate the continuous training pipeline with Vertex AI “CCBJ is a tech company that operates in the food industry says Minori With the organization operating a vending machine network of units it would like to create new businesses based on utilization and analyzing data Some of these businesses may be based on Sustainable Development Goals SDGs initiatives such as the utilization of recycled PET bottles measures to prevent food loss and ways of using vending machines to contribute to local communities which we have been working on for some time It would be interesting if we could collaborate with Google Cloud on these in the future Minori Matsuda  Google Developer Expert ML and Data Science Manager at Coca Cola Bottlers JapanRelated ArticleNew to ML Learning path on Vertex AIIf you re new to ML or new to Vertex AI this post will walk through a few example ML scenarios to help you understand when to use which Read Article	2021-10-21 23:30:00