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Matt Abrahams on DisrupTV: Why small talk is a big deal and other takeaways

Matt Abrahams on DisrupTV: Why small talk is a big deal and other takeaways

Matt Abrahams, a Stanford University Graduate School of Business professor and author of Think Faster, Talk Smarter, argues that everyone can become better at spontaneous conversation, master small talk and learn the art of paraphrasing and apologizing.

Speaking on DisrupTV Episode 347, Abrahams laid out some tips from his book to ponder. Here's a look at the takeaways.

Everyone can get better at spontaneous conversation. "We can get better at a relatively fast clip," said Abrahams. "There are things you can do that almost immediately help you feel more comfortable and confident communicating in the moment. For example, learning a simple structure, how to package your information that can help a few techniques to manage anxiety can help a lot right away."

DisrupTV Special Edition Episode - Top 15 Books of 2023

Are there differences in generations when it comes to communications? Abrahams said yes and no. This is Abrahams' first year as a professor where all of the students at the Stanford Business School are Gen Z.

He said:

"I've been teaching a long time. I'm old and I've seen lots of shifts and certainly technology like generative AI is changing the way we communicate, and our students are much in many cases more well versed in them. But the fundamental struggles of communicating effectively, confidently, and concisely persist and transcend generations. And it is important that all of us take the time to hone and develop those skills." 

You can prepare to be spontaneous. Abrahams said his method to communicating has a lot of counter intuitive notions. The biggest one is that you can prepare to be spontaneous. It's like practicing sports. You do drills and prepare to play the game and be spontaneous and react."

"The vast majority of our communication in our personal and professional lives is spontaneous. It's not the plan presentation, the pitch or the meeting with an agenda. It's the giving feedback, it's the fixing our mistakes, it's the apologizing, it's the small talk, the answering questions, that's what most of our communication is," said Abrahams. "I've developed a methodology. It has six steps to help us get through it. And the steps divide into two categories, mindset and messaging and with practice and with pushing yourself to get better. All of us can improve in our spontaneous speaking."

Structure matters. Abrahams said:

"Structure is critical to effective communication when we are in the moment, and we are having to figure out what to say. Many of us take our audiences on the journey of our discovery of what it is we want to say. In other words, we just list out information, our brains are not wired to receive lists or process lists. Structure a logical connection of ideas, beginning middle and an end."

Small talk is a big deal. Abrahams said his book has two parts. The first focuses on the methodology and the other homes in situations that require spontaneous speaking. He said:

"I was surprised to find that small talk is what seems to resonate more than the other parts. I thought it would be Q&A and feedback. Many of us struggle with small talk and I am on a personal mission to help rebrand small talk. Small talk is a big deal. Big things happen in small talk. Think about some of your closest friends that you have. How did you get to know them? And how did you get closer? Chances are it was through small talk. Think about some of the most important deals that you've made or learnings that you've had. It happens through small talk. So, we often write it away as a frivolous, necessary evil when in fact, big things happen. So, the question becomes, how do we do it better?

It's about being interested not interesting. We lead with curiosity, lead with questions and lead with observations. That's how you get things started. Once you get started, most people feel more comfortable."

The art of the paraphrase. Abrahams said that there are plenty of people who talk more than they should. Sometimes it's malice or sometimes they're just discovering what they're saying as they go and get lost. When in that situation, utilize the paraphrase.

"One of the top three communication tools everybody should develop is paraphrasing where you highlight or summarize some key point somebody has said. It is critical to shutting somebody down. If somebody is pontificating and going on and on, simply jump in by highlighting some crucial element, comment on it  and then move on. Paraphrasing is a delightful skill that helps you do that. But it doesn't happen by itself. It is always partnered with good listening. You paraphrase and then there has to be a link, a bridge, to something else."

Listening well. Abrahams said you can learn to listen better by listening for the bottom line instead of the top line. Pay attention to context and how something is said. "What's the person really saying? When we listen intently, we actually hear better. If you want to be a better listener, we have to slow things down. We have to slow the pace. Life comes at us fast and furious, and we have to slow down," said Abrahams. "We have to go to a space we can listen in and  allocate space where we can really focus and then give ourselves a little bit of grace to listen intently to what is said and how it is said. Not only to what is said. By giving ourselves a little pace, space and grace, we can all listen better."

He added that better listening also requires eyes, ears and paying attention to the environment.

The art of apologizing. Abrahams said most people struggle with apologies and do it inappropriately. "We don't really apologize. We say we're sorry for how we make people feel vs. what we actually did. We really have to take the time to apologize," he said.

Abrahams added:

"When it comes to apologizing the structure that I teach is AAA just like roadside service here in the United States. AAA will help you. It's three steps and this is the way you can structure a good solid apology. First, you have to acknowledge the incident. What is it that you did? Second, you have to appreciate the consequences for the person and third, you make amends."

There are times when you have to apologize immediately, but others where you can think it through.

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5 takeaways from Infosys’ Q3

5 takeaways from Infosys’ Q3

Infosys' third quarter earnings highlight enterprise interest in generative AI, large deals and clients that are navigating an uncertain economic picture.

The services provider delivered $4.66 billion in the third quarter and announced large deal wins at $3.2 billion. In the quarter, 59% of revenue was attributed to North America. Infosys added that demand was strong for its Topaz generative AI platform and Cobalt, its cloud services. For the quarter ended Dec. 31, Infosys reported a net profit of $733 million.

Here are some of the takeaways from Infosys CEO Salil Parekh and CFO Nilanjan Roy on the company's earnings conference call.

Generative AI is top of mind for enterprises. Parekh said:

"Almost every discussion with clients involves some element of generative AI. We're working across a large number of clients on different scales, where there are some which are more pilots some which are programs."

Industry demand is uneven. "We have seen impact in Financial Services, Telco and Hi-Tech segments. We see strength in Manufacturing, Energy, Utilities and Life Sciences segment. We are seeing strong traction for generative AI programs leveraging our Topaz capability. We've integrated our generative AI components into our service line portfolio, creating impact for our clients," said Parekh.

Use cases for generative AI emerge across Infosys clients. "We have developed a range of use cases and benefit scenarios across different industries for our clients. Some of these areas are related to client analytics, process optimization, sales, marketing, knowledge analysis, software development, self-service and personalization," said Parekh.

He added that Infosys is working with a large bank on a risk analysis program by developing a large language model for them. A food supplier is personalizing food experiences and making operations efficient.

Inflation and an uncertain economic picture are prolonging decisions. "Inflation, uncertain macro and delay in decision-making continues to impact the financial services sector with increasing cost pressures, clients remain cautious on spending and are reprioritizing their programs to deliver maximum business value," said Roy. Telecom was similar.

"Clients are looking at conserving cash, which is visible in delayed decision-making and project deferrals. Our focus on large and mega deals resulted in healthy pipeline and deal wins. Energy, utilities, resources and services clients remain cautiously optimistic about the demand environment with cap in short-term spend," said Roy.

Why digital, business transformation projects need new approaches to returns

Retail eyes generative AI and predictive analytics. "In the Retail segment, cost takeouts and consolidation remain the primary focus for the clients. While discretionary spends remain under pressure, there are pockets of opportunities, leverage generative AI, in predictive analysis, real-term insights and decision support areas. Deal pipeline is strong, though decision cycles remain long," said Roy.

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Big Idea: Return on Transformation Investments

Big Idea: Return on Transformation Investments

Many organizations have performed classical cost-benefit analyses to determine the impact of business technology projects. Although these approaches account for the quantifiable metrics, they often fail to capture key attributes such as probability of success and level of difficulty in project type.

Today’s artificial intelligence (AI) and business transformation projects require a much more holistic approach when evaluating the value created for an entire organization. Consequently, boards and their executives seek richer attributes to augment their traditional decision-making techniques.

Welcome to Constellation’s Return on Transformation Investment (RTI) methodology to provide decision support for business and technology leaders in their investment analyses. The methodology accounts for four elements that must be considered for any digital transformation project: cost, benefit, probability, and project type.

 

VIEW FULL REPORT: https://www.constellationr.com/research/return-transformation-investments-rti

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Google Cloud offers free data transfers to customers migrating to other clouds

Google Cloud offers free data transfers to customers migrating to other clouds

Google Cloud said it will offer free network data transfer to customers that move to another cloud provider or migrate on-premises.

In a blog post, Google Cloud outlined the changes. Data transfer fees have been under scrutiny by customers as well as regulators. Google Cloud's move also puts pressure on Microsoft Azure and AWS to do the same.

AWS, Microsoft Azure, Google Cloud battle about to get chippy

Amit Zavery, VP, Head of Platform at Google Cloud said eliminating data transfer fees is one important move, but also took aim at software licensing. He said:

Eliminating data transfer fees for switching cloud providers will make it easier for customers to change their cloud provider; however, it does not solve the fundamental issue that prevents many customers from working with their preferred cloud provider in the first place: restrictive and unfair licensing practices.

Certain legacy providers leverage their on-premises software monopolies to create cloud monopolies, using restrictive licensing practices that lock in customers and warp competition.

Google Cloud's free data transfer broaches a key topic in hybrid and multi-cloud approaches. Where your data resides equates to lock-in in many cases. Interoperability would offer more choices. The company has an FAQ outlining the details of free data transfers.

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OpenAI launches GPT Store, Team plan, eyes developer, enterprise traction

OpenAI launches GPT Store, Team plan, eyes developer, enterprise traction

OpenAI launched its GPT Store for custom versions of ChatGPT as well as plans for business and enterprise users. In the first quarter, OpenAI will launch a revenue share program for developers based on engagement with payment details to follow.

The launch, which was telegraphed two months ago, was overshadowed by the Sam Altman saga. The launch of the GPT Store illustrates how OpenAI is focusing on its generative AI business and ecosystem again.

Automation of IT processes, security, governance, analytics top AI use cases, says IBM survey

Most of the GPTs at launch were created by the OpenAI team, but the company said users have created more than 3 million custom versions of ChatGPT.

GPTs I tested include:

  • The Negotiator on real estate commissions for buying a residential property. I also asked about financial incentives for new cars.
  • Mocktail Mixologist for Virgin Mojito recipes.
  • Tech Support Advisor, which explained printer issues well. I could see Tech Support Advisor being used with support videos you'd find on YouTube. Enter Google's Bard at some point.
  • Web Browser, which uses Bing to aggregate answers and gather information. The question revolved around success rates of running with a knee replacement. "Lack of Concrete Scientific Evidence: There’s not a ton of scientific research on the impact of high-stress exercises like running on artificial knees. Much of the research is retrospective and relies on post-surgery patients reporting their own experiences," said Web Browser.   

OpenAI's GPT Store will highlight featured GPTs from Canva, Khan Academy and AllTrails.

Where's this GPT Store headed for business? It's not a huge leap to see enterprises create custom GPTs for internal support, financial processes and other areas. What remains to be seen is whether enterprises go directly to OpenAI, look to a competitor, use open source or rely on a cloud hyperscale vendor (AWS, Azure, Google Cloud).

While those use case details are being sorted out, OpenAI is launching new business plans. The company rolled out ChatGPT Team, which will be $25 per user/month billed annually or $30 a month billed monthly.

Team includes everything in Plus, the $20 a month plan for individuals, as well as high message caps, the ability to create and share GPTs in your workspace, an admin console, and no training on your data.

Enterprise includes everything in Team and unlimited high-speed access to GPT-4 and tools like DALL-E browsing, SSO, expanded window for longer inputs, no training on your data and customer data retention windows and admin controls and analytics. Enterprise also includes priority support. Pricing wasn't disclosed.

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HPE to acquire Juniper Networks for $14B: What it means

HPE to acquire Juniper Networks for $14B: What it means

Hewlett Packard Enterprise said it will acquire Juniper Networks in a deal valued at $14 billion, or $40 per Juniper share. HPE said the purchase will strengthen its networking business and complement its edge-to-cloud strategy.

According to HPE, Juniper will give the company a higher growth business with more free cash flow and margins. HPE will also continue to invest in AI and cloud. With Juniper in the fold, HPE said networking will represent 31% of pro forma annual revenue and more than 56% of operating income.

For HPE, Juniper also enables it to build out AI-focused networking gear. Networking will be included in HPE's hybrid cloud and AI tools delivered through HPE Greenlake. Juniper can also be leveraged in HPE's high-performance computing efforts.

Juniper was projecting revenue growth of 5% to 6% for fiscal year 2023, which was scheduled to be reported Jan. 30, with earnings per share growing at a double-digit clip. Exiting the third quarter, Juniper had an annual revenue run rate of $5.6 billion.

The deal is expected to close in late 2024 or early 2025. If the deal is terminated, HPE will pay Juniper a $815 million fee. 

Key items to note:

  • HPE plans to combine Juniper Networks with its HPE Aruba Networking and design an HPE AI interconnect fabric.
  • The company said it will create better user and operator experiences with AI.
  • HPE said the combination will be accretive to non-GAAP EPS in the first-year post-closing.
  • The combination of the two companies is expected to create run-rate annual cost synergies of $450 million within 36 months post-closing.
  • Juniper CEO Rami Rahim will lead the HPE networking business and report to HPE CEO Antonio Neri.

Constellation Research analyst Holger Mueller said:

"HPE did not have the critical mass with Aruba for SD-WAN and now it has it. And HPE lacked cloud revenue with the 'AI' and SD-WAN business from Aruba so the deal makes sense. Antonio is a smart guy and plays with the hand he has. 

Basically, HPE has to outexecute Dell in the shrinking on-premises market. HPE is finding more future revenue beyond on-premises than Dell is ... for now."

In a statement, Neri said:

"This transaction will strengthen HPE’s position at the nexus of accelerating macro-AI trends, expand our total addressable market, and drive further innovation for customers as we help bridge the AI-native and cloud-native worlds, while also generating significant value for shareholders."

HPE said it will fund the purchase with $14 billion in term loans that will be replaced by a combination of new debt, convertible preferred securities and cash. HPE said it plans to reduce leverage 2x in two years post close.

On a webcast, Neri said:

"HP will be a new company where networking will be the core foundation of everything we do. We're going to accelerate what we call an AI driven agenda. And that will allow us to capture this massive inflection point.

Rahim said:

"We were born in the era of the internet, and we built the products to help the internet scale for what it is today. Fast forward to today. The biggest inflection since the dawn of the internet itself is artificial intelligence. That's AI and the thing that I am most excited about with this combination is that we will be able to bring the depth and the breadth of the portfolio is necessary. To capture the full market opportunity that AI presents in front of us."

Other items from the conference call:

  • Neri was asked whether HPE and Juniper could collaborate ahead of closing. Neri said: "we have to collaborate with the regulators to make sure we do the utmost to accelerate the closing a transaction. That's a very standard process. And, you know, our goal is to get this transaction close as quickly as possible. Both companies have to stay focused on the respective customers and plans."
  • Rahim said he was bullish on the combination of Juniper and Ariba. He also said there's a big data center play. "I'm equally excited about the AI data center opportunity where today you can complement the Juniper networking high performance silicon capabilities with compute, storage, networking, Slingshot and the automation capabilities in a way that I think it will be completely unparalleled," he said.
  • The security lineup. Rahim and Neri said there is an opportunity to combine security portfolios on-premises, data center, edge and cloud. "Security is a very big part of the competitive thesis here," said Rahim.
  • Neri said HPE with Juniper can offer a full lineup of gear and silicon for cloud and AI workloads with edge and supercomputing. 
  • Rahim said that Juniper's Junos OS would garner more investment and is the company's "crown jewel.

  • The companies were asked about customer service organizations and combining teams. Neri said HPE has kept Aruba's industry focused services team and said the goal is to maintain Juniper's customer services teams.

Juniper had aligned its business around three primary use cases including automated wide area networking, cloud-ready data center and AI-driven enterprise. The company had also been targeting routing in edge, core and 5G networks.

In addition, Juniper also launched Mist AI, a cloud-first AIOps platform that included end-to-end security. Juniper also has recently outlined its software business as it aimed to move beyond networking gear.

Here's a look at Juniper's vision that will now be incorporated into HPE.

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2024 Predictions, Sustainability Outlook, Tech News | ConstellationTV Episode 71

2024 Predictions, Sustainability Outlook, Tech News | ConstellationTV Episode 71

ConstellationTV episode 71 just dropped! 🎬 Here's what you'll get this week on the fastest 30 minutes in enterprise tech...

1:10 - Tech News Update: Analysts Dion Hinchcliffe, Doug Henschen and Larry Dignan cover the new Apple Vision Pro, Q4 earnings, and #generativeAI ethics.

11:29 - Sustainability Outlook for 2024: Doug shares what changed for ESG in 2023 and why organizations should be looking beyond compliance and reporting.

22:18 - 2024 Tech Predictions: Doug and Dion give their most informed predictions about trends and product evolution for the next 12 months. Topics involve #AI breakthrough, tech antitrust, data platforms, analytics, and more.

📌 Thanks for watching and tune in every other week to Constellation social platforms @ 9 am EST / 11 am PST to never miss an episode!

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Automation of IT processes, security, governance, analytics top AI use cases, says IBM survey

Automation of IT processes, security, governance, analytics top AI use cases, says IBM survey

The most popular AI use cases include automation of IT processes, security and threat detection, governance and business analytics or intelligence, according to an IBM survey.

IBM Global AI Adoption Index 2023, a survey conducted by Morning Consult on behalf of IBM, found about 42% of enterprises with more than 1,000 employees use AI in their businesses. And 59% of AI early adopters say they will boost spending and accelerate adoption.

The IBM survey of 8,584 IT professionals around the world was conducted in November 2023.

Here's a look at the use cases surfaced in the IBM survey with percentage of respondents.

  • Automation of IT processes (33%)
  • Security and threat detection (26%)
  • AI monitoring or governance (25%)
  • Business analytics or intelligence (24%)
  • Automating processing, understanding, and flow of documents (24%)
  • Automating customer or employee self-service answers and actions (23%)
  • Automation of business processes (22%)
  • Automation of network processes (22%)
  • Digital labor (22%)
  • Marketing and sales (22%)
  • Fraud detection (22%)
  • Search and knowledge discovery (21%)
  • Human resources and talent acquisition (19%)
  • Financial planning and analysis (18%)
  • Supply chain intelligence (18%)

Other findings include:

  • 38% of IT professionals at large enterprises say they are deploying generative AI and another 42% are exploring it.
  • Companies in the financial services industry are most likely to be using AI. Telecommunications is second in adoption.
  • 85% of respondents in China said they are accelerating the AI rollout followed by India at 74%.
  • 33% said limited expertise is the biggest barrier to accelerating AI adoption with 25% citing data complexity.
  • 57% said data privacy is the biggest concern holding back generative AI adoption.

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Walmart CEO McMillon highlights adaptive retail, applied AI at CES 2024

Walmart CEO McMillon highlights adaptive retail, applied AI at CES 2024

Walmart CEO Doug McMillon highlighted the retailing giant's approach to adaptive retail and how it is applying generative AI across its company and to customers.

Speaking at CES 2024, McMillon said: "We love what technology can do, but we're building it in a way that creates better careers at the same time. It creates better customer experiences and a stronger business."

He said the company has to put humans at the center of its technology investments. Walmart executives highlighted everything from app innovations for its stores as well as Sam's Club. The company also said it is rolling out a generative AI assistant for its associates and how it is leveraging predictive analytics in the supply chain.

Here's a look at Walmart's key points from McMillon's CES 2024 talk.

  • The company outlined My Assistant, a generative AI assistant that rolled out to 50,000 campus associates late year. Now the company is launching in more countries including Canada, Mexico and Chile.
  • Walmart said it is developing generative AI search, built on Microsoft Azure OpenAI Service and retail models built by the retailer. These tools will show up in the Shop with Friends feature in the Walmart app and include virtual try-on capabilities. Walmart also highlighted InHome Replenishment, which uses a personalized replenishment algorithm for customers.
  • The company said it will offer drone delivery for up to 75% of the Dallas-Fort Worth population via a partnership with Wing and Zipline.
  • And Sam's Club will offer Scan & Go easy exits as a feature to customers in pilots across 10 Sam's Club locations. Scan & Go has been available to all Sam's Club members. Walmart is enhancing the service with AI and computer vision to enable members to bypass the exit receipt check. 

Suresh Kumar, Walmart's Global CTO, outlined how AI is used in the supply chain. He said:

"A modern supply chain requires a built-in intelligence that can do two things. Number one, it can forecast what customers want and when they want it. And number two, it can orchestrate the movement of very different products that need to be stored in very different ways.

Forecasting customer demand needs to happen very accurately, but far enough out for our suppliers.

We built an industry leading forecasting system that is smart. It's automated and it uses a patent pending machine learning model that predicts customer behavior, and it helps us accurately forecast how much of a product is needed and where. It incorporates dozens of different types of data like historical sales data, but also things like weather forecasts popularity and how an item is trending on social media. We also built artificial intelligence into how we orchestrate the optimal movement of our inventory. The main job is to have the product where our customers needed the most."

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Medtronic aims to leverage medical device data for AI-enabled care

Medtronic aims to leverage medical device data for AI-enabled care

Medtronic has formed an AI center of excellence as the company aims to advance AI-enabled healthcare based on data from its medical devices.

Speaking at the JP Morgan Stanley 42nd Annual Healthcare conference, Medtronic CEO Geoffrey Martha outlined the company's plans in AI. Martha said the company's move to create an AI center of excellence is aimed at centralizing key data assets including millions of patient datasets, regulatory experience, analytics knowhow, and medical device expertise.

In a nutshell, many of Medtronic's devices today include algorithms and models. The Medtronic AI-enhanced portfolio includes GI Genius, which uses AI for endoscopy, Touch Surgery Enterprise, AiBLE for neurosurgery, MiniMed 780G System for diabetes management, and LINQ, an insertable cardiac monitor.

Medtronic, which is optimizing its supply chain, automating and cutting costs, is betting that AI can be a growth market for the medical device giant.

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Martha said:

"We're harnessing the power of AI today for using clinical decision support, creating new indications and delivering personalized treatments. We’re uniquely positioned to advance AI and med tech."

Martha said the company's data sets across multiple points of care can be valuable to hospital systems. "We have the data and analytics expertise, and we're continuing to build on that. And this is across multiple disease areas. And we've been working very closely with the regulators on this. We spend a lot of time with regulators around the world, especially the FDA on how to think about AI and health care," said Martha, who added the company is planning to leverage common platforms to scale.

Martha added that's it's early, but Medtronic is already seeing the promise in training models with its data.

"This isn't about ChatGPT. I mean we have to train the models ourselves with a lot of high-quality data, but the impact is amazing here. And I think as we move forward, you're going to hear more and more about this from us," said Martha.

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