• In a world where hackers are the modern-day ninjas, lurking in the shadows of our screens, it’s fascinating to watch the dance of their tactics unfold. Enter the realm of ESD diodes—yes, those little components that seem to be the unsung heroes of electronic protection. You’d think any self-respecting hacker would treat them with the reverence they deserve. But alas, as the saying goes, not all heroes wear capes—some just forget to wear their ESD protection.

    Let’s take a moment to appreciate the artistry of neglecting ESD protection. You have your novice hackers, who, in their quest for glory, overlook the importance of these diodes, thinking, “What’s the worst that could happen? A little static never hurt anyone!” Ah, the blissful ignorance! It’s like going into battle without armor, convinced that sheer bravado will carry the day. Spoiler alert: it won’t. Their circuits will fry faster than you can say “short circuit,” leaving them wondering why their master plan turned into a crispy failure.

    Then, we have the seasoned veterans—the ones who should know better but still scoff at the idea of ESD protection. Perhaps they think they’re above such mundane concerns, like some digital demigods who can manipulate the very fabric of electronics without consequence. I mean, who needs ESD diodes when you have years of experience, right? It’s almost adorable, watching them prance into their tech disasters, blissfully unaware that their arrogance is merely a prelude to a spectacular downfall.

    And let’s not forget the “lone wolves,” those hackers who fancy themselves as rebels without a cause. They see ESD protection as a sign of weakness, a crutch for the faint-hearted. In their minds, real hackers thrive on chaos—why bother with protection when you can revel in the thrill of watching your carefully crafted device go up in flames? It’s the equivalent of a toddler throwing a tantrum because they’re told not to touch the hot stove. Spoiler alert number two: the stove doesn’t care about your feelings.

    In this grand tapestry of hacker culture, the neglect of ESD protection is not merely a technical oversight; it’s a statement, a badge of honor for those who believe they can outsmart the very devices they tinker with. But let’s be real: ESD diodes are the unsung protectors of the digital realm, and ignoring them is like inviting disaster to your tech party and hoping it doesn’t show up. Newsflash: it will.

    So, the next time you find yourself in the presence of a hacker who scoffs at ESD protections, take a moment to revel in their bravado. Just remember to pack some marshmallows for when their devices inevitably catch fire. After all, it’s only a matter of time before the sparks start flying.

    #Hackers #ESDDiodes #TechFails #CyberSecurity #DIYDisasters
    In a world where hackers are the modern-day ninjas, lurking in the shadows of our screens, it’s fascinating to watch the dance of their tactics unfold. Enter the realm of ESD diodes—yes, those little components that seem to be the unsung heroes of electronic protection. You’d think any self-respecting hacker would treat them with the reverence they deserve. But alas, as the saying goes, not all heroes wear capes—some just forget to wear their ESD protection. Let’s take a moment to appreciate the artistry of neglecting ESD protection. You have your novice hackers, who, in their quest for glory, overlook the importance of these diodes, thinking, “What’s the worst that could happen? A little static never hurt anyone!” Ah, the blissful ignorance! It’s like going into battle without armor, convinced that sheer bravado will carry the day. Spoiler alert: it won’t. Their circuits will fry faster than you can say “short circuit,” leaving them wondering why their master plan turned into a crispy failure. Then, we have the seasoned veterans—the ones who should know better but still scoff at the idea of ESD protection. Perhaps they think they’re above such mundane concerns, like some digital demigods who can manipulate the very fabric of electronics without consequence. I mean, who needs ESD diodes when you have years of experience, right? It’s almost adorable, watching them prance into their tech disasters, blissfully unaware that their arrogance is merely a prelude to a spectacular downfall. And let’s not forget the “lone wolves,” those hackers who fancy themselves as rebels without a cause. They see ESD protection as a sign of weakness, a crutch for the faint-hearted. In their minds, real hackers thrive on chaos—why bother with protection when you can revel in the thrill of watching your carefully crafted device go up in flames? It’s the equivalent of a toddler throwing a tantrum because they’re told not to touch the hot stove. Spoiler alert number two: the stove doesn’t care about your feelings. In this grand tapestry of hacker culture, the neglect of ESD protection is not merely a technical oversight; it’s a statement, a badge of honor for those who believe they can outsmart the very devices they tinker with. But let’s be real: ESD diodes are the unsung protectors of the digital realm, and ignoring them is like inviting disaster to your tech party and hoping it doesn’t show up. Newsflash: it will. So, the next time you find yourself in the presence of a hacker who scoffs at ESD protections, take a moment to revel in their bravado. Just remember to pack some marshmallows for when their devices inevitably catch fire. After all, it’s only a matter of time before the sparks start flying. #Hackers #ESDDiodes #TechFails #CyberSecurity #DIYDisasters
    Hacker Tactic: ESD Diodes
    A hacker’s view on ESD protection can tell you a lot about them. I’ve seen a good few categories of hackers neglecting ESD protection – there’s the yet-inexperienced ones, ones …read more
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  • Stolen iPhones disabled by Apple's anti-theft tech after Los Angeles looting

    What just happened? As protests against federal immigration enforcement swept through downtown Los Angeles last week, a wave of looting left several major retailers, including Apple, T-Mobile, and Adidas, counting the cost of smashed windows and stolen goods. Yet for those who made off with iPhones from Apple's flagship store, the thrill of the heist quickly turned into a lesson in high-tech security.
    Apple's retail locations are equipped with advanced anti-theft technology that renders display devices useless once they leave the premises. The moment a demonstration iPhone is taken beyond the store's Wi-Fi network, it is instantly disabled by proximity software and a remote "kill switch."
    Instead of a functioning smartphone, thieves were met with a stark message on the screen: "Please return to Apple Tower Theatre. This device has been disabled and is being tracked. Local authorities will be alerted." The phone simultaneously sounds an alarm and flashes the warning, ensuring it cannot be resold or activated elsewhere.
    This system is not new. During the nationwide unrest of 2020, similar scenes played out as looters discovered that Apple's security measures turned their stolen goods into little more than expensive paperweights.
    The technology relies on a combination of location tracking and network monitoring. As soon as a device is separated from the store's secure environment, it is remotely locked, its location is tracked, and law enforcement is notified.
    // Related Stories

    Videos circulating online show stolen iPhones blaring alarms and displaying tracking messages, making them impossible to ignore and virtually worthless on the black market.
    According to the Los Angeles Police Department, at least three individuals were arrested in connection with the Apple Store burglary, including one suspect apprehended at the scene and two others detained for looting.
    The crackdown on looting comes amid a broader shift in California's approach to retail crime. In response to public outcry over rising thefts, state and local officials have moved away from previously lenient policies. The passage of Proposition 36 has empowered prosecutors to file felony charges against repeat offenders, regardless of the value of stolen goods, and to impose harsher penalties for organized group theft.
    Under these new measures, those caught looting face the prospect of significant prison time, a marked departure from the misdemeanor charges that were common under earlier laws.
    District attorneys in Southern California have called for even harsher penalties, particularly for crimes committed during states of emergency. Proposals include making looting a felony offense, increasing prison sentences, and ensuring that suspects are not released without judicial review. The goal, officials say, is to deter opportunistic criminals who exploit moments of crisis, whether during protests or natural disasters.
    #stolen #iphones #disabled #apple039s #antitheft
    Stolen iPhones disabled by Apple's anti-theft tech after Los Angeles looting
    What just happened? As protests against federal immigration enforcement swept through downtown Los Angeles last week, a wave of looting left several major retailers, including Apple, T-Mobile, and Adidas, counting the cost of smashed windows and stolen goods. Yet for those who made off with iPhones from Apple's flagship store, the thrill of the heist quickly turned into a lesson in high-tech security. Apple's retail locations are equipped with advanced anti-theft technology that renders display devices useless once they leave the premises. The moment a demonstration iPhone is taken beyond the store's Wi-Fi network, it is instantly disabled by proximity software and a remote "kill switch." Instead of a functioning smartphone, thieves were met with a stark message on the screen: "Please return to Apple Tower Theatre. This device has been disabled and is being tracked. Local authorities will be alerted." The phone simultaneously sounds an alarm and flashes the warning, ensuring it cannot be resold or activated elsewhere. This system is not new. During the nationwide unrest of 2020, similar scenes played out as looters discovered that Apple's security measures turned their stolen goods into little more than expensive paperweights. The technology relies on a combination of location tracking and network monitoring. As soon as a device is separated from the store's secure environment, it is remotely locked, its location is tracked, and law enforcement is notified. // Related Stories Videos circulating online show stolen iPhones blaring alarms and displaying tracking messages, making them impossible to ignore and virtually worthless on the black market. According to the Los Angeles Police Department, at least three individuals were arrested in connection with the Apple Store burglary, including one suspect apprehended at the scene and two others detained for looting. The crackdown on looting comes amid a broader shift in California's approach to retail crime. In response to public outcry over rising thefts, state and local officials have moved away from previously lenient policies. The passage of Proposition 36 has empowered prosecutors to file felony charges against repeat offenders, regardless of the value of stolen goods, and to impose harsher penalties for organized group theft. Under these new measures, those caught looting face the prospect of significant prison time, a marked departure from the misdemeanor charges that were common under earlier laws. District attorneys in Southern California have called for even harsher penalties, particularly for crimes committed during states of emergency. Proposals include making looting a felony offense, increasing prison sentences, and ensuring that suspects are not released without judicial review. The goal, officials say, is to deter opportunistic criminals who exploit moments of crisis, whether during protests or natural disasters. #stolen #iphones #disabled #apple039s #antitheft
    WWW.TECHSPOT.COM
    Stolen iPhones disabled by Apple's anti-theft tech after Los Angeles looting
    What just happened? As protests against federal immigration enforcement swept through downtown Los Angeles last week, a wave of looting left several major retailers, including Apple, T-Mobile, and Adidas, counting the cost of smashed windows and stolen goods. Yet for those who made off with iPhones from Apple's flagship store, the thrill of the heist quickly turned into a lesson in high-tech security. Apple's retail locations are equipped with advanced anti-theft technology that renders display devices useless once they leave the premises. The moment a demonstration iPhone is taken beyond the store's Wi-Fi network, it is instantly disabled by proximity software and a remote "kill switch." Instead of a functioning smartphone, thieves were met with a stark message on the screen: "Please return to Apple Tower Theatre. This device has been disabled and is being tracked. Local authorities will be alerted." The phone simultaneously sounds an alarm and flashes the warning, ensuring it cannot be resold or activated elsewhere. This system is not new. During the nationwide unrest of 2020, similar scenes played out as looters discovered that Apple's security measures turned their stolen goods into little more than expensive paperweights. The technology relies on a combination of location tracking and network monitoring. As soon as a device is separated from the store's secure environment, it is remotely locked, its location is tracked, and law enforcement is notified. // Related Stories Videos circulating online show stolen iPhones blaring alarms and displaying tracking messages, making them impossible to ignore and virtually worthless on the black market. According to the Los Angeles Police Department, at least three individuals were arrested in connection with the Apple Store burglary, including one suspect apprehended at the scene and two others detained for looting. The crackdown on looting comes amid a broader shift in California's approach to retail crime. In response to public outcry over rising thefts, state and local officials have moved away from previously lenient policies. The passage of Proposition 36 has empowered prosecutors to file felony charges against repeat offenders, regardless of the value of stolen goods, and to impose harsher penalties for organized group theft. Under these new measures, those caught looting face the prospect of significant prison time, a marked departure from the misdemeanor charges that were common under earlier laws. District attorneys in Southern California have called for even harsher penalties, particularly for crimes committed during states of emergency. Proposals include making looting a felony offense, increasing prison sentences, and ensuring that suspects are not released without judicial review. The goal, officials say, is to deter opportunistic criminals who exploit moments of crisis, whether during protests or natural disasters.
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  • Why Companies Need to Reimagine Their AI Approach

    Ivy Grant, SVP of Strategy & Operations, Twilio June 13, 20255 Min Readpeshkova via alamy stockAsk technologists and enterprise leaders what they hope AI will deliver, and most will land on some iteration of the "T" word: transformation. No surprise, AI and its “cooler than you” cousin, generative AI, have been hyped nonstop for the past 24 months. But therein lies the problem. Many organizations are rushing to implement AI without a grasp on the return on investment, leading to high spend and low impact. Without anchoring AI to clear friction points and acceleration opportunities, companies invite fatigue, anxiety and competitive risk. Two-thirds of C-suite execs say GenAI has created tension and division within their organizations; nearly half say it’s “tearing their company apart.” Mostreport adoption challenges; more than a third call it a massive disappointment. While AI's potential is irrefutable, companies need to reject the narrative of AI as a standalone strategy or transformational savior. Its true power is as a catalyst to amplify what already works and surface what could. Here are three principles to make that happen. 1. Start with friction, not function Many enterprises struggle with where to start when integrating AI. My advice: Start where the pain is greatest. Identify the processes that create the most friction and work backward from there. AI is a tool, not a solution. By mapping real pain points to AI use cases, you can hone investments to the ripest fruit rather than simply where it hangs at the lowest. Related:For example, one of our top sources of customer pain was troubleshooting undeliverable messages, which forced users to sift through error code documentation. To solve this, an AI assistant was introduced to detect anomalies, explain causes in natural language, and guide customers toward resolution. We achieved a 97% real-time resolution rate through a blend of conversational AI and live support. Most companies have long-standing friction points that support teams routinely explain. Or that you’ve developed organizational calluses over; problems considered “just the cost of doing business.” GenAI allows leaders to revisit these areas and reimagine what’s possible. 2. The need forspeed We hear stories of leaders pushing an “all or nothing” version of AI transformation: Use AI to cut functional headcount or die. Rather than leading with a “stick” through wholesale transformation mandates or threats to budgets, we must recognize AI implementation as a fundamental culture change. Just as you wouldn't expect to transform your company culture overnight by edict, it's unreasonable to expect something different from your AI transformation. Related:Some leaders have a tendency to move faster than the innovation ability or comfort level of their people. Most functional leads aren’t obstinate in their slow adoption of AI tools, their long-held beliefs to run a process or to assess risks. We hired these leaders for their decades of experience in “what good looks like” and deep expertise in incremental improvements; then we expect them to suddenly define a futuristic vision that challenges their own beliefs. As executive leaders, we must give grace, space and plenty of “carrots” -- incentives, training, and support resources -- to help them reimagine complex workflows with AI. And, we must recognize that AI has the ability to make progress in ways that may not immediately create cost efficiencies, such as for operational improvements that require data cleansing, deep analytics, forecasting, dynamic pricing, and signal sensing. These aren’t the sexy parts of AI, but they’re the types of issues that require superhuman intelligence and complex problem-solving that AI was made for. 3. A flywheel of acceleration The other transformation that AI should support is creating faster and broader “test and learn” cycles. AI implementation is not a linear process with start here and end there. Organizations that want to leverage AI as a competitive advantage should establish use cases where AI can break down company silos and act as a catalyst to identify the next opportunity. That identifies the next as a flywheel of acceleration. This flywheel builds on accumulated learnings, making small successes into larger wins while avoiding costly AI disasters from rushed implementation. Related:For example, at Twilio we are building a customer intelligence platform that analyzes thousands of conversations to identify patterns and drive insights. If we see multiple customers mention a competitor's pricing, it could signal a take-out campaign. What once took weeks to recognize and escalate can now be done in near real-time and used for highly coordinated activations across marketing, product, sales, and other teams. With every AI acceleration win, we uncover more places to improve hand-offs, activation speed, and business decision-making. That flywheel of innovation is how true AI transformation begins to drive impactful business outcomes. Ideas to Fuel Your AI Strategy Organizations can accelerate their AI implementations through these simple shifts in approach: Revisit your long-standing friction points, both customer-facing and internal, across your organization -- particularly explore the ones you thought were “the cost of doing business” Don’t just look for where AI can reduce manual processes, but find the highly complex problems and start experimenting Support your functional experts with AI-driven training, resources, tools, and incentives to help them challenge their long-held beliefs about what works for the future Treat AI implementation as a cultural change that requires time, experimentation, learning, and carrots Recognize that transformation starts with a flywheel of acceleration, where each new experiment can lead to the next big discovery The most impactful AI implementations don’t rush transformation; they strategically accelerate core capabilities and unlock new ones to drive measurable change. About the AuthorIvy GrantSVP of Strategy & Operations, Twilio Ivy Grant is Senior Vice President of Strategy & Operations at Twilio where she leads strategic planning, enterprise analytics, M&A Integration and is responsible for driving transformational initiatives that enable Twilio to continuously improve its operations. Prior to Twilio, Ivy’s career has balanced senior roles in strategy consulting at McKinsey & Company, Edelman and PwC with customer-centric operational roles at Walmart, Polo Ralph Lauren and tech startup Eversight Labs. She loves solo international travel, hugging exotic animals and boxing. Ivy has an MBA from NYU’s Stern School of Business and a BS in Applied Economics from Cornell University. See more from Ivy GrantReportsMore ReportsNever Miss a Beat: Get a snapshot of the issues affecting the IT industry straight to your inbox.SIGN-UPYou May Also Like
    #why #companies #need #reimagine #their
    Why Companies Need to Reimagine Their AI Approach
    Ivy Grant, SVP of Strategy & Operations, Twilio June 13, 20255 Min Readpeshkova via alamy stockAsk technologists and enterprise leaders what they hope AI will deliver, and most will land on some iteration of the "T" word: transformation. No surprise, AI and its “cooler than you” cousin, generative AI, have been hyped nonstop for the past 24 months. But therein lies the problem. Many organizations are rushing to implement AI without a grasp on the return on investment, leading to high spend and low impact. Without anchoring AI to clear friction points and acceleration opportunities, companies invite fatigue, anxiety and competitive risk. Two-thirds of C-suite execs say GenAI has created tension and division within their organizations; nearly half say it’s “tearing their company apart.” Mostreport adoption challenges; more than a third call it a massive disappointment. While AI's potential is irrefutable, companies need to reject the narrative of AI as a standalone strategy or transformational savior. Its true power is as a catalyst to amplify what already works and surface what could. Here are three principles to make that happen. 1. Start with friction, not function Many enterprises struggle with where to start when integrating AI. My advice: Start where the pain is greatest. Identify the processes that create the most friction and work backward from there. AI is a tool, not a solution. By mapping real pain points to AI use cases, you can hone investments to the ripest fruit rather than simply where it hangs at the lowest. Related:For example, one of our top sources of customer pain was troubleshooting undeliverable messages, which forced users to sift through error code documentation. To solve this, an AI assistant was introduced to detect anomalies, explain causes in natural language, and guide customers toward resolution. We achieved a 97% real-time resolution rate through a blend of conversational AI and live support. Most companies have long-standing friction points that support teams routinely explain. Or that you’ve developed organizational calluses over; problems considered “just the cost of doing business.” GenAI allows leaders to revisit these areas and reimagine what’s possible. 2. The need forspeed We hear stories of leaders pushing an “all or nothing” version of AI transformation: Use AI to cut functional headcount or die. Rather than leading with a “stick” through wholesale transformation mandates or threats to budgets, we must recognize AI implementation as a fundamental culture change. Just as you wouldn't expect to transform your company culture overnight by edict, it's unreasonable to expect something different from your AI transformation. Related:Some leaders have a tendency to move faster than the innovation ability or comfort level of their people. Most functional leads aren’t obstinate in their slow adoption of AI tools, their long-held beliefs to run a process or to assess risks. We hired these leaders for their decades of experience in “what good looks like” and deep expertise in incremental improvements; then we expect them to suddenly define a futuristic vision that challenges their own beliefs. As executive leaders, we must give grace, space and plenty of “carrots” -- incentives, training, and support resources -- to help them reimagine complex workflows with AI. And, we must recognize that AI has the ability to make progress in ways that may not immediately create cost efficiencies, such as for operational improvements that require data cleansing, deep analytics, forecasting, dynamic pricing, and signal sensing. These aren’t the sexy parts of AI, but they’re the types of issues that require superhuman intelligence and complex problem-solving that AI was made for. 3. A flywheel of acceleration The other transformation that AI should support is creating faster and broader “test and learn” cycles. AI implementation is not a linear process with start here and end there. Organizations that want to leverage AI as a competitive advantage should establish use cases where AI can break down company silos and act as a catalyst to identify the next opportunity. That identifies the next as a flywheel of acceleration. This flywheel builds on accumulated learnings, making small successes into larger wins while avoiding costly AI disasters from rushed implementation. Related:For example, at Twilio we are building a customer intelligence platform that analyzes thousands of conversations to identify patterns and drive insights. If we see multiple customers mention a competitor's pricing, it could signal a take-out campaign. What once took weeks to recognize and escalate can now be done in near real-time and used for highly coordinated activations across marketing, product, sales, and other teams. With every AI acceleration win, we uncover more places to improve hand-offs, activation speed, and business decision-making. That flywheel of innovation is how true AI transformation begins to drive impactful business outcomes. Ideas to Fuel Your AI Strategy Organizations can accelerate their AI implementations through these simple shifts in approach: Revisit your long-standing friction points, both customer-facing and internal, across your organization -- particularly explore the ones you thought were “the cost of doing business” Don’t just look for where AI can reduce manual processes, but find the highly complex problems and start experimenting Support your functional experts with AI-driven training, resources, tools, and incentives to help them challenge their long-held beliefs about what works for the future Treat AI implementation as a cultural change that requires time, experimentation, learning, and carrots Recognize that transformation starts with a flywheel of acceleration, where each new experiment can lead to the next big discovery The most impactful AI implementations don’t rush transformation; they strategically accelerate core capabilities and unlock new ones to drive measurable change. About the AuthorIvy GrantSVP of Strategy & Operations, Twilio Ivy Grant is Senior Vice President of Strategy & Operations at Twilio where she leads strategic planning, enterprise analytics, M&A Integration and is responsible for driving transformational initiatives that enable Twilio to continuously improve its operations. Prior to Twilio, Ivy’s career has balanced senior roles in strategy consulting at McKinsey & Company, Edelman and PwC with customer-centric operational roles at Walmart, Polo Ralph Lauren and tech startup Eversight Labs. She loves solo international travel, hugging exotic animals and boxing. Ivy has an MBA from NYU’s Stern School of Business and a BS in Applied Economics from Cornell University. See more from Ivy GrantReportsMore ReportsNever Miss a Beat: Get a snapshot of the issues affecting the IT industry straight to your inbox.SIGN-UPYou May Also Like #why #companies #need #reimagine #their
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    Why Companies Need to Reimagine Their AI Approach
    Ivy Grant, SVP of Strategy & Operations, Twilio June 13, 20255 Min Readpeshkova via alamy stockAsk technologists and enterprise leaders what they hope AI will deliver, and most will land on some iteration of the "T" word: transformation. No surprise, AI and its “cooler than you” cousin, generative AI (GenAI), have been hyped nonstop for the past 24 months. But therein lies the problem. Many organizations are rushing to implement AI without a grasp on the return on investment (ROI), leading to high spend and low impact. Without anchoring AI to clear friction points and acceleration opportunities, companies invite fatigue, anxiety and competitive risk. Two-thirds of C-suite execs say GenAI has created tension and division within their organizations; nearly half say it’s “tearing their company apart.” Most (71%) report adoption challenges; more than a third call it a massive disappointment. While AI's potential is irrefutable, companies need to reject the narrative of AI as a standalone strategy or transformational savior. Its true power is as a catalyst to amplify what already works and surface what could. Here are three principles to make that happen. 1. Start with friction, not function Many enterprises struggle with where to start when integrating AI. My advice: Start where the pain is greatest. Identify the processes that create the most friction and work backward from there. AI is a tool, not a solution. By mapping real pain points to AI use cases, you can hone investments to the ripest fruit rather than simply where it hangs at the lowest. Related:For example, one of our top sources of customer pain was troubleshooting undeliverable messages, which forced users to sift through error code documentation. To solve this, an AI assistant was introduced to detect anomalies, explain causes in natural language, and guide customers toward resolution. We achieved a 97% real-time resolution rate through a blend of conversational AI and live support. Most companies have long-standing friction points that support teams routinely explain. Or that you’ve developed organizational calluses over; problems considered “just the cost of doing business.” GenAI allows leaders to revisit these areas and reimagine what’s possible. 2. The need for (dual) speed We hear stories of leaders pushing an “all or nothing” version of AI transformation: Use AI to cut functional headcount or die. Rather than leading with a “stick” through wholesale transformation mandates or threats to budgets, we must recognize AI implementation as a fundamental culture change. Just as you wouldn't expect to transform your company culture overnight by edict, it's unreasonable to expect something different from your AI transformation. Related:Some leaders have a tendency to move faster than the innovation ability or comfort level of their people. Most functional leads aren’t obstinate in their slow adoption of AI tools, their long-held beliefs to run a process or to assess risks. We hired these leaders for their decades of experience in “what good looks like” and deep expertise in incremental improvements; then we expect them to suddenly define a futuristic vision that challenges their own beliefs. As executive leaders, we must give grace, space and plenty of “carrots” -- incentives, training, and support resources -- to help them reimagine complex workflows with AI. And, we must recognize that AI has the ability to make progress in ways that may not immediately create cost efficiencies, such as for operational improvements that require data cleansing, deep analytics, forecasting, dynamic pricing, and signal sensing. These aren’t the sexy parts of AI, but they’re the types of issues that require superhuman intelligence and complex problem-solving that AI was made for. 3. A flywheel of acceleration The other transformation that AI should support is creating faster and broader “test and learn” cycles. AI implementation is not a linear process with start here and end there. Organizations that want to leverage AI as a competitive advantage should establish use cases where AI can break down company silos and act as a catalyst to identify the next opportunity. That identifies the next as a flywheel of acceleration. This flywheel builds on accumulated learnings, making small successes into larger wins while avoiding costly AI disasters from rushed implementation. Related:For example, at Twilio we are building a customer intelligence platform that analyzes thousands of conversations to identify patterns and drive insights. If we see multiple customers mention a competitor's pricing, it could signal a take-out campaign. What once took weeks to recognize and escalate can now be done in near real-time and used for highly coordinated activations across marketing, product, sales, and other teams. With every AI acceleration win, we uncover more places to improve hand-offs, activation speed, and business decision-making. That flywheel of innovation is how true AI transformation begins to drive impactful business outcomes. Ideas to Fuel Your AI Strategy Organizations can accelerate their AI implementations through these simple shifts in approach: Revisit your long-standing friction points, both customer-facing and internal, across your organization -- particularly explore the ones you thought were “the cost of doing business” Don’t just look for where AI can reduce manual processes, but find the highly complex problems and start experimenting Support your functional experts with AI-driven training, resources, tools, and incentives to help them challenge their long-held beliefs about what works for the future Treat AI implementation as a cultural change that requires time, experimentation, learning, and carrots (not just sticks) Recognize that transformation starts with a flywheel of acceleration, where each new experiment can lead to the next big discovery The most impactful AI implementations don’t rush transformation; they strategically accelerate core capabilities and unlock new ones to drive measurable change. About the AuthorIvy GrantSVP of Strategy & Operations, Twilio Ivy Grant is Senior Vice President of Strategy & Operations at Twilio where she leads strategic planning, enterprise analytics, M&A Integration and is responsible for driving transformational initiatives that enable Twilio to continuously improve its operations. Prior to Twilio, Ivy’s career has balanced senior roles in strategy consulting at McKinsey & Company, Edelman and PwC with customer-centric operational roles at Walmart, Polo Ralph Lauren and tech startup Eversight Labs. She loves solo international travel, hugging exotic animals and boxing. Ivy has an MBA from NYU’s Stern School of Business and a BS in Applied Economics from Cornell University. See more from Ivy GrantReportsMore ReportsNever Miss a Beat: Get a snapshot of the issues affecting the IT industry straight to your inbox.SIGN-UPYou May Also Like
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