If you’ve been paying attention over the last five years or so, Artificial Intelligence has increasingly entered our daily lives. Every day, a new development shows us that AI is here to stay in different ways. Many are excited about the new ways to use AI, and others are concerned. Bottom line; we can use these tools for what they are made to be, tools, not replacements. Let’s discuss Artificial Intelligence and how we can use it holistically.
Artificial Intelligence (AI)
What is AI?
Artificial intelligence (AI) is a young discipline of sixty years, which is a set of sciences, theories, and techniques (including mathematical logic, statistics, probabilities, computational neurobiology, and computer science) that aims to imitate the cognitive abilities of a human being.
The tech community has long debated the threats posed by artificial intelligence. Automation of jobs, the spread of fake news and a dangerous arms race of AI-powered weaponry have been mentioned as some of the biggest dangers posed by AI.
Implemented badly, AI is likely to fail, creating business risk. However, not implementing AI at all risks falling behind more future-facing competitors as they reap the rewards of exploring this next-generation technology.
The key is to view any AI project regarding its role in the long-term direction and success of the overall enterprise and its operations. This approach will inform the technical and people-based framework that is essential for successful implementation and a holistic AI vision.
Three waves of AI:
According to the Council of Europe.
- 1940-1960: Birth of AI in the wake of cybernetics
- 1980-1990: Expert systems
- Since 2010: a new bloom based on massive data and new computing power
Examples of Artificial Intelligence in Holistic Marketing
Marketers spend a ton of time creating content for social media distribution, then managing distribution and engagement across channels.
AI content creation is having its moment in the spotlight.
And while AI-generated tools aren’t completely new, the growing popularity of ChatGPT by OpenAI and Jasper AI has opened up an entirely new conversation. Some have welcomed these tools with open arms, while others question whether they’ll replace their jobs.
While we will see an increase in brands and solopreneurs using AI-generated tools to create long-form articles, email subject lines, or social media captions, the most effective and creative copy still has a human element to it.
A traditional social media management tool helps with this by streamlining social media scheduling and monitoring. But AI tools take it further.
Tools exist to auto-generate social media content across channels, going so far as to include hashtags and shortened links automatically. Tools also exist to auto-schedule these shares in bulk.
Overall, an AI tool can handle certain types of social media creation and management in minutes. Here are some examples of AI tools we use holistically:
- Canva: A graphic design platform that is used to create social media graphics and presentations. The app includes readymade templates for users to use.
- We know staring at a blank page can be daunting, but Canva is here to help with Magic Write, an AI-powered copywriting assistant in Canva Docs. Business owners and teams of every kind will be able to supercharge their content. Magic Write excels at brainstorming initial ideas, or drafts for social media posts, press releases, business plans, customer support responses, product descriptions, and proposals which can all be generated at the touch of a button, ready to be proofed and edited. You can even include tone of voice in your Magic Write “brief.”
- Later: A social media management platform and link in bio tool for every social network. Plan, analyze, and publish content in advance — so you can save time & grow your business. With Later’s new AI Caption Writer for Instagram, you can create on-brand captions in seconds — no brainstorming required.
- Grammarly: An American cloud-based typing assistant. It reviews spelling, grammar, punctuation, clarity, engagement, and delivery mistakes in English texts, detects plagiarism and suggests replacements for the identified errors. It allows users to customize their style, tone, and context-specific language.
- Active Campaign: A customer experience automation (CXA) platform that uses machine learning to help businesses meaningfully engage customers. Access pre-built automations that combine transactional email and email marketing, marketing automation, e-commerce marketing, and CRM for powerful segmentation and personalization across social, email, messaging, chat, and text.
- Loom Systems’ Sophie: A patent-pending AIOps solution that predicts and solves IT incidents in enterprises undergoing a digital transformation or cloud migration. This keeps operations running smoothly, improves business productivity, alleviates the tedium of reading logs, and frees up time to concentrate on higher-value IT tasks.
My name is Cyriac Lefort, I am the co-founder of Samwell.ai, an AI-native native platform, that provides the most efficient and well-designed business intelligence tools to young professionals.
While working with AI, how do you see applications like AI copywriting tools affecting jobs positively and negatively?
AI copywriting tools have the potential to positively impact jobs by increasing efficiency and productivity in specific industries, allowing for more time to be spent on higher-level tasks. However, they can also negatively affect jobs by potentially automating certain roles, and reducing the demand for human jobs. Like any new technologies, humans will get used to them and shift to other jobs.
Do you see the possibility of AI being used holistically? Why or Why not?
Yes, I think that there is a possibility of using AI holistically. AI can be integrated into various aspects of a business or industry, and its applications can be broad and diverse. For example, we can use AI for data analysis, customer service, marketing, and manufacturing tasks.
Using AI holistically can result in more efficient processes, improved decision-making, and increased productivity. However, I think that using AI should be approached thoughtfully and with consideration for ethical and societal implications.
Additionally, while AI has the potential to impact and improve many industries significantly, it is not a solution to every problem. We should use AI in conjunction with human expertise and decision-making to maximize its benefits while minimizing potential negative consequences.
Where is AI headed? What is the next stage for AI applications like the ones we are seeing today?
I think that AI-native productivity tools will emerge. I see it: you have a new idea, write it down, and AI makes your idea presentable to different audiences/ stakeholders. For example, in a tech company, it would be presentations and videos for salespeople, tables/charts for finance departments, summaries for executives, etc. Today, we keep producing the same ideas in different formats, using Microsoft Office or Notion. Tomorrow, one platform will do all of them in a few seconds, and I think this platform will emerge with young professionals.
We want to thank Cryiac Lefort for his insight into Artificial Intelligence.
What did you learn from this blog? Will you be using AI for your personal or business use? Let us know in the comments or on our Instagram. Check out our last CADA Consult blog here
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