Are 'Lionfish' Swimming in Your Digital Ecosystem? How Large Language Models Threaten Enterprise Security
Invasive lionfish, with their beautiful stripes and destructive appetites, can tell us a cautionary tale about the...
for the health of people
for the health of planet
for the health of business
FOR THE HEALTH OF PEOPLE: EQUITY
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“The work [with Synaptiq] is unprecedented in its scale and potential impact,” Mortenson Center’s Managing Director Laura MacDonald MacDonald said. “It ties together our center’s strengths in impact evaluation and sensor deployment to generate evidence that informs development tools, policy, and practice.”
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DATA STRATEGY
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A startup in digital health trained a risk model to open up a robust, precise, and scalable processing pipeline so providers could move faster, and patients could move with confidence after spinal surgery.
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PREDICTIVE ANALYTICS
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Thwart errors, relieve in-take form exhaustion, and build a more accurate data picture for patients in chronic pain? Those who prefer the natural albeit comprehensive path to health and wellness said: sign me up.
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MACHINE VISION
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Using a dynamic machine vision solution for detecting plaques in the carotid artery and providing care teams with rapid answers, saves lives with early disease detection and monitoring.
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INTELLIGENT AUTOMATION
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This global law firm needed to be fast, adaptive, and provide unrivaled client service under pressure, intelligent automation did just that plus it made time for what matters most: meaningful human interactions.
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Mushrooms, Goats, and Machine Learning: What do they all have in common? You may never know unless you get started exploring the fundamentals of Machine Learning with Dr. Tim Oates, Synaptiq's Chief Data Scientist. You can read and visualize his new book in Python, tinker with inputs, and practice machine learning techniques for free. |
Start Chapter 1 Now ⇢ |
By: Synaptiq 1 Jun 3, 2022 7:40:16 AM
In the last decade, modern, high-tech tools have raised the bar for service excellence. Industry-leading organizations like Uber, Amazon, and Netflix have leveraged technology to maximize client convenience and process efficiency. As a result, the public now expects amenities such as 24/7 customer service, digital delivery, and personalized value, with every company and brand they engage with – from shopping to entertainment to healthcare.
To provide these amenities, organizations must undergo “digital transformation”: integrating digital technology into their business processes. Market drivers have pushed digital transformation across industries, but some sectors have been more responsive than others.
Many industries are taking a conservative approach to digital transformation. For example, law firms have historically been wary of change, as it can introduce new liabilities. They typically lack what is described as "cultural readiness”: “a high degree of alignment between cultural norms and a proposed change" when it comes to new technology.
This blog post will explore how organizations can generate cultural readiness for digital transformation. We will discuss how to (1) determine your organization's current level of cultural readiness, (2) overcome innovation stagnation, and (3) convince skeptics to get on board.
In late 2020, Synaptiq started investigating digital transformation across many industries. We conducted a series of interviews with leaders from a diverse group of companies and analyzed our findings.
Notably, we found that companies tend to fall across the following levels of cultural readiness:
Starting. Companies on the starting level prefer a conservative approach to digital innovation: one which allows them to continue using current processes and tools. They introduce new technology through incremental (not radical) changes. Their digital transformation is highly IT-dependent and, as such, competes against many other technology needs.
Exploring. These companies prefer an opportunistic approach to digital innovation, often driven by a tech-enthusiast leader with specific requests. Their digital transformation involves opportunistic projects led by existing technology teams with executive input.
Leading. Companies on the "leading" level of cultural readiness prefer a comprehensive digital transformation approach, requiring an organization-wide strategy led by dedicated, executive-level roles. Their digital transformation is well-funded, prioritized, and systemic.
You can determine your own company’s cultural readiness based on the descriptions above.
“Innovation stagnation” occurs when an organization fails to introduce new technology for an extended period and (consequently) falls behind in terms of technical acumen and resources. If your company is on the starting level of cultural readiness, you are likely experiencing (at least some) examples of innovation stagnation. To overcome it, we recommend that you begin digital transformation with a short-term project that has a high likelihood of success.
This initial project will serve as a quick confidence boost and warm-up for your organization's IT department. Assign it to an IT manager who is a “believer” in innovation and willing to go the extra mile to exceed expectations. The worst thing you can do is set this project up for failure with a skeptical manager or insufficient resources; you will lose momentum for digital transformation, which is the opposite of its intended effect.
In any company -- really, any organization across industries -- you will find “skeptics”: individuals resistant to change and wary of new technology. Skeptics often have good reasons for their inhibition. Perhaps they witnessed a serious technology blunder at their last organization, or maybe it’s an internal self-confidence issue and they are threatened by the idea of tech-savvy professionals crowding them out.
Whatever their rationale, skeptics are reluctant to embrace the innovation necessary for digital transformation. Rarely, they may hinder the digital transformation efforts of organizations at the leading level of cultural readiness. More commonly, they prevent companies at the starting and exploring levels from gaining momentum and organizational unity.
To bring skeptics on board for digital transformation, it’s essential to start slow -- before beginning digital transformation. You may think that skeptics will be “cured” when they see the benefits of digital transformation, but this is akin to trying to “cure” an arachnophobe by handing them a live tarantula. When skeptics confront new technology, they frequently resist using it -- or, worse, resist learning to use it correctly. They may even lobby others to join their resistance.
Ultimately, the only way to convert a skeptic is through education: introducing the idea of new technology and addressing anxieties head-on. With this approach, you get everything out in the open -- pros and cons, fears and hopes -- to resolve their concerns.
Digital transformation is on the rise. It offers obvious and immediate benefits for companies of all shapes and sizes: improved project delivery, risk management, automation, business development, and more. However, it also requires that companies overcome the obstacles outlined above: lack of cultural readiness, innovation stagnations, and skepticism.
With over 60 clients in 20 sectors worldwide, Synaptiq is a full-scale AI consultancy delivering impactful solutions with applied machine learning and vision, natural language processing, and other data-driven techniques. If you are an organization looking to explore digital transformation, we can help you unlock the power of AI and data science.
For more information about Synaptiq, please visit www.synaptiq.ai
HOW SYNAPTIQ CAN HELP
Synaptiq focuses on the humankind of AI; building a better world as we lean into an age of human and machine interaction.
We believe solving serious challenges, making real impact and saving lives is worth every waking moment. So we collaborate and make thoughtful considerations across disciplines examining past, present and future models of merit. Whether history, science, math, nature, human behavior; they all inform the data and ideas that help us find answers to world-class riddles.
We keep our AI on people because AI is how we do it, humanity is why we do it.
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