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In this episode, I’m doing a round-up of some cool low-code/no-code solutions across different industries. I’ll showcase some of these app solutions in real-time to give you a peek into what’s possible.

If you missed episodes 1, 2, and 3, be sure to check them out below:Episode 1: https://mydacfeed.com/view/video/back-it-the-low-code-no-code-evolution-part-1Episode 2: https://mydacfeed.com/view/video/back-it-low-code-vs-no-code-who-will-win-part-2Episode 3: https://mydacfeed.com/view/video/back-it-is-ai-a-game-changer-for-low-code-no-code-part-3Sites/sources:PandaSuite energy guide app: https://pandasuite.com/launcher/s/AVRYgg6dgBP1_bTwv5KY?_branch_match_id=879800160458085085#!/publication?type=tablet Mendix app for Eneco: https://www.mendix.com/solutions/intelligent-energy-insight/Retool GDPR example: https://retool.com/templates/gdpr-data-export Glide staff locations app: https://prefab-employees.glideapp.io/

Artificial Intelligence is truly impacting the low-code/no-code landscape. But, is it a game-changer? Check out this podcast where I dive into AI and LC/NC, offer some areas to explore and leave you with options to consider.If you missed the first two episodes, be sure to check them out here:Episode 1: https://mydacfeed.com/view/video/back-it-the-low-code-no-code-evolution-part-1Episode 2: https://mydacfeed.com/view/video/back-it-low-code-vs-no-code-who-will-win-part-2Sources:Alogorithmia source: https://info.algorithmia.com/2020?utm_source=thenewstack&utm_medium=website&utm_campaign=platform OutSystems: https://www.outsystems.com/ Deloitte TruVoice: https://www2.deloitte.com/uk/en/pages/risk/solutions/truevoice.html Microsoft AI Builder: https://docs.microsoft.com/en-us/ai-builder/overview UIPath – RPA and AI: https://www.uipath.com/blog/ai-rpa-differences-when-to-use-them-together

The “transformation” buzzword is everywhere these days, and there’s no doubt that far-reaching, systemic change can deliver impressive results, especially when powered by new digital platforms. But transformation enthusiasm should be tempered by an understanding of the potential downsides

Low-code/no-code isn’t just the hottest buzzword/term now, but a major technology category with huge growth potential in this decade. In part 1 of this series, I explore the evolution of low-code/no-code, call out a few players in the space, and leave you with tips to consider before choosing a solution.Source info:Intrado: https://www.globenewswire.com/news-release/2020/11/10/2123468/0/en/Global-187-Billion-Low-Code-Development-Platform-Market-to-2030.html#:~:text=The%20global%20low%2Dcode%20development,period%20(2020%2D2030). Excel history: https://microsoft.fandom.com/wiki/Microsoft_Excel SAP Purchases Appgyver: https://news.sap.com/2021/02/sap-acquire-appgyver/ John’s take on Appgyver: https://mydacfeed.com/view/video/sap-acquires-no-code-platform-appgyver App references:Retool: https://retool.com/Bubble: https://bubble.io/Excel: https://www.microsoft.com/en-us/microsoft-365/excelWordpress: https://wordpress.com/ Microsoft Power Apps: https://powerapps.microsoft.com/ AWS Honeycode: https://www.honeycode.aws/ Google Appsheet: https://www.appsheet.com/ AppGyver: https://www.appgyver.com/

There’s an intriguing debate in the data analyst community on whether Excel or Power BI is the best tool for data analysis.

Hear Pablo Moreno’s perspective: he believes it’s not about the tool, but rather, your data needs – data ingestion, data size, data aggregation, distribution of the information.

In part 4 of this series, I explore what’s next for AI. Artificial intelligence has been utilized in many ways and areas and is still breaking into new frontiers. Listen in as I share thoughts on new areas for AI and what to expect in the future.And, be sure to check out part 1, part 2, and part 3 of this series. Additional sources:More on DNA storage: https://news.microsoft.com/innovation-stories/hello-data-dna-storage/More on Gartner DNA predictions: https://siliconangle.com/2020/10/21/gartners-predictions-dna-storage-expanding-cio-roles/ More on AI helping to fight cancer: https://scienceblog.cancerresearchuk.org/2020/04/01/new-blood-test-study-uses-artificial-intelligence-to-identify-cancer-but-its-not-ready-for-patients-yet/ 

In part 3 of this series: Are people really adopting AI or is there still resistance? People are adopting AI more and more without even knowing it and it’s being used in tech and non-tech companies. Listen in as I talk through these ideas.  And, be sure to check out part 1 and part 2 of this series. Additional source:Wired source: https://www.wired.com/2014/10/future-of-artificial-intelligence/

In part 2 of this series, I share thoughts on AI in the world of Tax. This is an interesting area for AI to dive into considering all the rules and regulations that accompany anything in tax. What’s in store for AI and Tax? Take a listen.If you want to learn and engage more on the topic of taxes, reserve your seat and join us on our Tax Binge Day on February 24, 2021.If you missed part 1 of the series, be sure to check it out here.Additional source:Deloitte study: https://www2.deloitte.com/global/en/pages/tax/articles/artificial-intelligence-in-tax.htmlFor more great tax-related content, be sure to check these posts:Understanding Sales Taxes and VAT TaxesWhen GP Tax Tables Are Not EnoughIt’s A Taxing Situation in D365 BC and NAV