Tag: efficiency

Unleashing the Power of ChatGPT and AI in Supply Chain

As the host of the Digital Supply Chain podcast, I am always on the lookout for innovative ways to improve and streamline the supply chain process. That’s why I was excited to welcome Doug Marinaro from Riptide on the latest episode to discuss the potential uses of ChatGPT and AI in the supply chain. And for the first time, a video version of this podcast is available at https://youtu.be/UB8HQ-ZfjYo

ChatGPT, an advanced language model developed by OpenAI, has the potential to revolutionize the way we approach supply chain management. In our conversation, Doug and I dive into the various ways that ChatGPT can be utilized in the supply chain, from helping to streamline communication and decision-making processes to providing data analysis and even helping with forecasting and planning.

One of the most exciting potential uses of ChatGPT in the supply chain is its ability to improve communication. The model’s advanced language capabilities can help supply chain professionals quickly and efficiently respond to customer inquiries and provide insightful and professional responses to emails. This not only saves time, but also helps to ensure that all communication is well thought out and professional.

Another potential use of ChatGPT in the supply chain is its ability to provide data analysis and insights. With its advanced language and analytical capabilities, ChatGPT can help supply chain professionals quickly and accurately analyze large amounts of data to make informed decisions. This can be particularly useful in areas such as demand forecasting, where ChatGPT can help predict future demand for products based on historical data and current market trends.

In addition to its data analysis capabilities, ChatGPT can also help with planning and decision-making in the supply chain. By providing real-time data and insights, ChatGPT can help supply chain professionals make informed decisions about everything from inventory management to production scheduling.

Despite its many potential uses, ChatGPT is still a relatively new technology, and there are certainly some challenges to be addressed. For example, there have been some concerns about the accuracy of the model’s responses, particularly when dealing with complex questions. However, as Doug mentioned in our conversation, these issues are being addressed through updates and improvements to the model, and the future looks bright for ChatGPT and its potential uses in the supply chain.

In conclusion, the potential uses of ChatGPT and AI in the supply chain are exciting and wide-ranging. From improving communication to providing data analysis and insights, there are many ways that ChatGPT can help streamline and improve the supply chain process. If you’re interested in learning more about the potential uses of ChatGPT and AI in the supply chain, I highly encourage you to listen to the latest episode of the Digital Supply Chain podcast.

If you enjoy this episode, please consider following the podcast and sharing it with others who may be interested. And as always, if you find the podcast of value, and you’d like to help me continue to make episodes like this one, you can go to the podcast’s Support page and become a Digital Supply Chain podcast Supporter for less than the cost of a cup of coffee!

And if you’re interested in having your brand associated with the leading Supply Chain podcast, don’t hesitate to check out these sponsorship packages and how I can help your company gain exposure and establish yourself as a thought leader in the supply chain industry, please don’t hesitate to get in touch.

Thank you!

Making Waves in International Trade: The Benefits of AI in Simplifying Customs Processes

Hello everyone! As the host of the Digital Supply Chain podcast, I’ve been exploring the latest trends and innovations in the world of supply chain management and logistics. Recently, I had the pleasure of speaking with Oscar Morales, the CEO of Sifty, a company that is leading the charge in the use of AI and ML to simplify customs processes for customs brokers and improve efficiency in international trade.

In our conversation, Oscar highlighted the importance of data and the role it plays in the logistics industry. He explained that the more data that is shared about the various variables involved in an import/export transaction, the better the AI systems can become. This is because the more information that is fed into these systems, the better the outcome will be. This is why Sifty is dedicated to curating data automatically to extract the relevant information and provide its customers with actionable insights.

One of the major pain points that customs brokers face is the time-consuming and often complicated process of clearing goods through customs. Sifty is changing this by using AI and ML to automate many of the tasks that were once performed manually. This not only saves time, but it also reduces the risk of errors, making the entire process more efficient and streamlined.

Oscar also discussed the potential of the “digital ecosystem” in the logistics industry and how Sifty is working towards becoming the “operating system of the logistics industry”. By connecting with other participants in the industry and sharing data, Sifty is able to create better products and offer its customers a set of interconnected AI solutions to increase their efficiency.

One of the key takeaways from my conversation with Oscar is that Sifty is all about efficiency. The company produces software to decrease the time spent on certain bottlenecks in the customs process and make it easier for customs brokers. Sifty uses a lot of machine learning and advanced technologies, but it also works with humans, as the human element is critical for the efficiency of the technology to be effective.

Another important point that Oscar made was that there is often a fear surrounding AI and how it may replace jobs in various industries. However, he believes that this is not the case with Sifty. In fact, Sifty needs humans to be successful, as they play a crucial role in ensuring that the technology is used effectively.

In conclusion, the use of AI and ML in the customs process is a game-changer for customs brokers and those involved in international trade. By simplifying the process and reducing the risk of errors, companies can save time and increase efficiency, leading to increased revenue. If you’re a supply chain professional, I highly recommend checking out Sifty and learning more about the incredible work they’re doing in this space. And of course, be sure to listen to the podcast episode with Oscar Morales to hear more about this exciting topic!

If you enjoy this episode, please consider following the podcast and sharing it with others who may be interested. And as always, if you find the podcast of value, and you’d like to help me continue to make episodes like this one, you can go to the podcast’s Support page and become a Digital Supply Chain podcast Supporter for less than the cost of a cup of coffee!

And if you’re interested in having your brand associated with the leading Supply Chain podcast, don’t hesitate to check out these sponsorship packages and how I can help your company gain exposure and establish yourself as a thought leader in the supply chain industry, please don’t hesitate to get in touch.

Thank you!

Photo credit Shawn Harquail on Flickr

Revolutionizing the Supply Chain with Electric Vehicles

As the host of the Digital Supply Chain podcast, I’m always on the lookout for the latest and greatest in the world of supply chain and logistics. And today, I had the absolute pleasure of speaking with Mark Ang, CEO of GoBolt, a cutting-edge delivery company that’s changing the game when it comes to sustainability in the supply chain.

Mark is a seasoned veteran of the delivery industry and he’s got a wealth of knowledge and experience when it comes to incorporating EVs into a company’s logistics infrastructure. During our conversation, we explored the many challenges that companies face when trying to make the transition to EVs, and Mark shared some of the key insights that he looks for when monitoring the performance of GoBolt’s system.

One of the biggest takeaways from our chat was that involving EVs in a company’s logistics infrastructure is not as simple as just cutting a check and getting a truck off a lot. It’s a complex process that requires a lot of planning, preparation, and investment in both people and technology. Businesses that want to have EVs as part of their transition strategy need to be thinking about these things if they want to successfully manage their Scope three emissions.

We also talked about sustainability reporting, and Mark shared some of the steps that GoBolt has taken to accurately attribute emissions to an order level. He emphasized the importance of having a robust model that takes into account distance traveled, payload traveled, and other key data points. GoBolt has worked with external consultants to build a model that they feel comfortable publishing externally, and they hope to continue to lead the way when it comes to sustainability reporting in the delivery industry.

Mark shared his vision for the future of GoBolt, and it’s an exciting one. Within the next five to ten years, he sees the company expanding its operations to Western Europe and other commonwealth countries, and continuing to support Fortune 100 and 500 companies as they transition to a more sustainable supply chain.

So, if you’re interested in learning more about EVs, sustainability reporting, and the future of the delivery industry, be sure to listen to this episode of the Digital Supply Chain podcast. I’m confident that you’ll come away with a wealth of knowledge and insights that you can apply to your own supply chain and logistics operations.

And don’t forget to follow and support the Digital Supply Chain podcast! With more exciting episodes like this one in the works, you won’t want to miss a single one.

If you enjoy this episode, please consider following the podcast and sharing it with others who may be interested. And as always, if you find the podcast of value, and you’d like to help me continue to make episodes like this one, you can go to the podcast’s Support page and become a Digital Supply Chain podcast Supporter for less than the cost of a cup of coffee!

And if you’re interested in having your brand associated with this, the leading Supply Chain podcast, don’t hesitate to check out these sponsorship packages and how I can help your company gain exposure and establish yourself as a thought leader in the supply chain industry, please don’t hesitate to get in touch.

Thank you!

Photo credit – Ivan Radic on Flickr

Simplifying Real-Time Location Tracking with Cloud-Delivered AI for Supply Chain

In this episode of the Digital Supply Chain podcast, I sat down with Adrian Jennings, the Chief Product Officer of Cognosos.

Cognosos provides real-time location intelligence solutions for the logistics and healthcare industries. Their aim is to bring the location intelligence technology that is now common in our personal lives to the enterprise level of logistics.

Adrian has over 23 years of experience in the real-time location industry and has worked on tracking various objects, from cars and airplanes to people and even monkeys. He explained that Cognosos’ solution is different from other real-time location solutions because it addresses the need for manual, spatially distributed processes, which occur in various industries but tend to be invisible. Cognosos’ solution offers a more flexible and efficient approach to real-time location tracking than the solutions available in the market.

Cognosos was founded in the era of cloud and AI, which allows the company to take a ground-up approach to tracking. Instead of using traditional on-premise processing, they use low energy Bluetooth beacons that are low-cost and easy to deploy. These beacons emit a low-frequency signal that is picked up by the tags and sent to the cloud for processing. This approach allows for a more cost-effective solution with improved performance.

Adrian explained how Cognosos solves the issue of location through machine learning. Instead of figuring out the X, Y, and Z coordinates of an object, which is a difficult task, they treat it as a classification problem. AI algorithms are excellent at recognizing patterns and making inferences based on sparse input data, like a sparse network of beacons. Cognosos leverages this technology to create a lightweight network of beacons that can determine a high-quality, high granularity location without the need for a heavy infrastructure.

Adrian shared two use cases for their solution, one outdoor and one indoor. In the outdoor example, in a logistics yard, cars are moved multiple times from the assembly line to the logistics organization, where they undergo various processing steps. By tracking the car, Cognosos provides visibility into the process, allowing the operator to see where the inefficiencies are and optimize the process. In the indoor example, in hospitals, Cognosos goes beyond just finding lost assets, it helps improve the utilization of equipment by reducing overstocking and making the process more efficient.

Cognosos is a rapidly growing company that is currently focused on vehicle manufacturing logistics and asset management in healthcare, mostly in hospitals. However, they are now starting to extend into smaller facilities as well. Their next frontier is workflow management in healthcare, where they aim to minimize inefficiencies by better managing and understanding the flow of patients and caregivers. In logistics, they are moving beyond automotive manufacturing and are now being pulled into other areas such as food and beverage, garment, and pharmaceuticals.

In conclusion, Adrian explained that the traditional approach to RTLS has been to focus on creating value through granularity, but this often leads to expensive and difficult-to-implement solutions. Cognosos, on the other hand, focuses on creating value through simplicity and ease of use, which has led to their rapid growth and expansion in various industries.

I hope you found this episode as informative and engaging as I did. If you want to learn more about Cognosos and their real-time location intelligence solutions, be sure to listen to the full podcast episode. And don’t forget to follow and support the Digital Supply Chain podcast.

If you enjoy this episode, please consider following the podcast and sharing it with others who may be interested. And as always, if you find the podcast of value, and you’d like to help me continue to make episodes like this one, you can go to the podcast’s Support page and become a Digital Supply Chain podcast Supporter for less than the cost of a cup of coffee!

And if you’re interested in having your brand associated with the leading Supply Chain podcast, learning more about these sponsorship packages and how I can help your company gain exposure and establish yourself as a thought leader in the supply chain industry, please don’t hesitate to get in touch.

Thank you!

Photo credit Quinn Dombrowski on Flickr

Climate Solutions on the Farm: How eAgronom’s platform is revolutionising sustainable agriculture

Agriculture is one of the most critical industries when it comes to climate change. Not only does it play a major role in producing the food we rely on, but it also impacts our environment and natural resources in countless ways. This is why it’s so important to have a conversation about sustainable and responsible agricultural practices, and that’s exactly what the latest episode of my Climate Confident podcast aims to do.

In this latest episode, I had the pleasure of speaking with Robin Saluoks, CEO of eAgronom. In this episode, we delve into the world of sustainable farming and how technology can play a vital role in reducing emissions in the agricultural industry.

Robin shared with us how his family’s organic grain farm in Estonia prompted him to develop eAgronom, a tool for farmers to manage their operations, including financial reporting and people management. But as time passed, the tool evolved to include carbon and greenhouse gas tracking, as it’s crucial for farmers to consider the environmental impact of their decisions.

One of the key takeaways from the episode is the importance of precision in farming. Robin explains how precision fertilization and precision farming can lead to more efficient use of resources, and ultimately lower emissions. He also touched on the benefits farmers can receive by implementing sustainable practices, such as carbon credit income and sustainable loans with lower interest rates.

Another interesting topic we discussed is the role of food companies and land owners in promoting sustainable farming. Robin mentioned how some food companies are starting to offer a premium for food grown with lower emissions, and how some land owners are offering reduced rental rates to farmers who adopt sustainable practices.

Overall, this episode provides valuable insights into how technology and sustainable practices can benefit both farmers and the environment. If you’re interested in learning more about sustainable farming and the role of technology in reducing emissions, be sure to listen to this episode and follow the Climate Confident podcast for more updates and discussions on this and all Climate topics.

As a reminder, I release a new episode every Wednesday, and you can find it on the Climate Confident website, and in all podcast apps.

Photo credit Beyond Coal & Gas Image Library

How the Internet of Things Can Make Your Manufacturing Business More Sustainable

The Internet of Things, often abbreviated as IoT, refers to the network of physical devices, vehicles, home appliances, and other items that are embedded with electronics, software, sensors, actuators, and connectivity which enable these objects to connect and exchange data.

The Industrial Internet of Things, or IIoT, is a specific application of the Internet of Things that pertains to the manufacturing sector. In recent years, sustainability has become an important issue for manufacturers as consumers increasingly seek out products that have been made sustainably and with minimal impact on the environment.

Fortunately, the IIoT can help manufacturers reduce their environmental impact and become more sustainable. Here’s how:

  1. Collecting Data to Increase Visibility and Transparency Across the Value Chain
    The first step to becoming more sustainable is to have visibility and transparency across the entire value chain. This means understanding where your raw materials come from, how they are sourced, how they are used in your manufacturing process, what happens to your finished products after they are sold, etc. In order to gain this visibility and transparency, manufacturers must collect data at every stage of the value chain. This data can be collected manually or automatically through sensors and other digital technologies. Once this data is collected, it can be analyzed to identify areas where your company can become more efficient and reduce waste.
  1. Connecting Machines to Improve Efficiency
    One way that manufacturers can use the IIoT to become more sustainable is by connecting their machines together in order to improve efficiency. For example, if one machine is idling while another machine is overloaded, this presents an opportunity to optimize production by redistributing work among the machines. By connecting machines together and using data analytics to optimize production in this way, manufacturers can avoid wasting energy and resources.
  2. Using Renewable Energy Sources
    Another way that manufacturers can use the IIoT to become more sustainable is by using renewable energy sources such as solar or wind power instead of traditional sources such as coal or natural gas. While renewable energy sources may have been more expensive in the past, advances in technology have led to a decrease in cost while simultaneously increasing efficiency. As a result, many manufacturers are making the switch to renewable energy sources in order to reduce their environmental impact.
  3. Implementing Predictive Maintenance Schedules
    Predictive maintenance is a type of maintenance that is performed before problems occur. This is in contrast to traditional preventive maintenance which is performed on a regular schedule whether or not problems exist. By using predictive maintenance schedules based on data collected by sensors, manufacturers can avoid unexpected downtime due to equipment failures. In addition, predictive maintenance can help extend the lifespan of equipment which leads to fewer replacement cycles and less waste over time.

The IIoT offers many opportunities for manufacturers to become more sustainable businesses. By collecting data across the value chain, connecting machines together for improved efficiency, using renewable energy sources wherever possible, and implementing predictive maintenance schedules; manufacturers can reduce their environmental impact while simultaneously improving their bottom line. As consumers increasingly seek out sustainable products, there has never been a better time for manufacturers to take advantage of these opportunities presented by the IIoT .

My “Green IT – driving efficiency, sustainability and enabling efficient working practices” presentation

Conference organising company iQuest contacted me last year to ask me to deliver a keynote presentation at their Green IT Summit.

The event took place in Dublin yesterday and my keynote talk entitled “Green IT – driving efficiency, sustainability and enabling efficient working practices” is above.

The organisers prudently decided that they didn’t want to take the risk of any of their international speakers not making it to the event because of the ashcloud. This would have left them with a hole in the schedule at the last minute so they contracted the services of OnlineMeetingRooms and three of the presenters were able to present to the audience in Dublin, over an online video connection, without having to travel!

The title I was asked to present on was quite broad and I had 30 minutes to try cover it all so I had to go at quite a clip but the feedback has been extremely positive so it seemed to work out very well.

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NightWatchman saving energy

Night Watchman
Following on from my earlier post about the importance of turning things off, we had a briefing the other day from a company called 1E.

1E entered the power management space about 10 years ago when they wrote NightWatchman. NightWatchman is a PC power management application which aims to reduce the energy wasted by computers not being turned off at the end of the working day.

They were well ahead of the market (remember, they started 10 years ago, long before there was any power management built into the operating system) and, in fact, they had a hard time selling NightWatchman until about three years ago.

NightWatchman is now deployed on 4 million PCs worldwide savingcustomers US $360 million in energy costs and preventing 3 million tons of CO2 emissions, according to 1E.

As an interesting aside, the name NightWatchman came from the fact that the software was originally written for a company who had a security guard going around at night turning off computers and monitors! In fact, in the first seven years it was sold as a security and patching tool (it would allow companies to shut off computers in the evening and schedule a window in the middle of the night during which the computers would power up to download any security updates and patches which had been released).

In their whitepaper, entitled ‘Why Power Schemes are not Enough?’ [PDF] 1E make a great point –

It is impossible to monitor and report on the energy used by your PC estate (and therefore the cost and CO2 emissions this causes) using only the built-in tools that come with Windows. Because of the lack of built-in monitoring of energy usage, organizations are unaware of the lack of effectiveness of Windows sleep timers.

Windows power schemes should therefore not be used as the mechanism for reliable overnight and weekend energy saving for PCs.

Dell rolled out NightWatchman and wrote a white paper on the experience [pdf] – from the case study:

1E NightWatchman software saves files and closes applications and shuts down or places into sleep mode computers in the Microsoft Windows environment while preventing data loss and application errors. It also allows computers to be turned off from a central location, at a specified time, while providing extensive reports for management.

NightWatchman works with SMSWakeUp, which repowers computers in synchronization with Microsoft SMS. Administrators can boot computers from a centralized command so they can deploy security patches or new applications during off-hours.

By deploying 1E’s NightWatchman and SMSWakeUp applications to its 50,000 client computers, Dell expects to realize up to a 40 percent reduction in computer-related energy costs, which could translate into US$1.8 million in savings annually.

AT&T also installed 1E and from the release on AT&T’s rollout [PDF] it said:

[AT&T] is launching the NightWatchman® PC power management solution from 1E on 310,000 desktop computers across its domestic operations to help improve energy efficiency. Powering down corporate PCs during non-work hours is expected to save AT&T more than 135 million kilowatt hours of electricity a year and eliminate 123,941 tons of carbon dioxide emissions — equivalent to the electricity required to power 14,892 homes.

1E also have a server version of their NightWatchman software – this program identifies under-utilised servers, allowing them to be either re-deployed or decommissioned – fewer servers means less energy consumed by server sprawl. NightWatchman Server also has an energy management component built-in which has the added benefit of reducing heat from servers and therefore the air conditioning load in data centers required to cool the servers.

All of this means less energy costs and fewer CO2 emissions for companies. Go 1E!

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IBM Global Eco-Efficiency Jam Day 2

IBM Eco Jam Screenshot

Today is the final day of IBM’s Global Eco-efficiency Jam (it finishes at 6pm CET today) and it has been awesome.

There have been hundreds of discussions on all manner of Eco-related topics – everything from LEED certification, to Green software engineering, to Energy Efficiency certificates to Smart cities and collaboration.

People have been asking questions like:

If environmental reporting and efficiency actions becomes the norm, what kinds of incentives and rebates are available to help improve the time to value and return on investments?

Currently this question has had 8 replies.

The question with the most replies (right now) is –

Would you use a mobility car service – like the bicycle rental scheme in Paris but with a small, probably electric vehicle – rather than public transportation or a taxi?

and so far it has had 78 responses!

Often answers to questions directly contradict one another – such as the following answers to the mobility question above:

Yes, I would. But more for fun or visiting a city. Visiting clients on e-bike wearing business dress is difficult

and

When Montreal introduced its version of Vélib, called Bixi, most people anticipated tourists would be the prime users. But looking around the city on a nice summer day, most the bikes are used by men and women in business suits, going from one building to the next. For short rides of 2-4 km, you needn’t even break a sweat.

These kind of contradictory answers are inevitable when the participants come from over 100 countries reflecting their country’s culture and infrastructure.

Other discussions were more straightforward

Looking beyond basic power policies on the operating system, do you have any form of PC power management operating on your PC at home or at work?

There is plenty of discussion on water as well with people discussing the merits of water metering, water harvesting and town/city water policies.

While I am contributing a bit to the discussions (I have added 39 posts and had 37 replies so far), I am learning a huge amount and coming into contact with participants I might never otherwise have met.

IBM should make this a regular event, no question.

[Disclosure] IBM asked me not to use the names of Jam participants in any blog posts I make here because IBM hadn’t sought their permission so I removed the names from the image above and didn’t credit people quoted above. If I have used your content and you are happy to have me credit you, let me know in the comments or by email (tom@redmonk.com) and I’m more than happy to do so.

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IBM Eco Jam kicks off later today with an impressive line-up

Jam
Photo credit justmakeit via Flickr

The IBM Global Eco Efficiency Jam kicks off this afternoon (January 27th) at 9am EST (14:00 GMT, 15:00 here in CEST) and continues right on through until Friday afternoon.

According to the IBM site the Jam is

a web-based event which will provide an unrivalled opportunity for thousands of public and private sector sustainability leaders, from medium to large organizations around the world, to pool their knowledge and experiences through a series of focused discussions and exchanges of best practices with each other, with practitioners and influencers and with acknowledged subject matter experts.

The objective of this jam is to enable senior representatives from organizations of all sizes to cooperatively determine the best actions that can be taken to meet our goals for a sustainable future for our organizations, our customers, our suppliers, our stakeholders and society at large

There are almost 1000 companies from 45 countries around the world (ranging from Argentia to Brazil to Finland to Hungary to India to Malaysia to Peru to Slovakia to UK to USA to Vietnam) signed up to participate. Typically in IBM Jams several reps from each company participate. The types of roles who have signed up for this Jam include: CIO, Chief Sustainability Officer, COO, Facilities Manager, CFO, Manufacturing Operations, Environmental Affairs, Fleet Manager, Real estate and site operations, IT manager, data center manager, and city planner.

More than 250 subject matter experts from IBM, Green Sigma Coalition partners, industry analysts, energy & environment experts, and leading edge companies are taking part. Some of the non-IBM experts who have signed up to share their expertise are:

  • Dian M. Grueneich, Commissioner of the California Public Utilities Commission
  • Joel Makower, Chairman/Executive Editor, Greener World Media, Inc.; Senior Strategist, GreenOrder; and Co-founder and Principal, Clean Edge, Inc.
  • Dan Esty, author of Green to Gold
  • James Watson, Managing Editor, Industry and Management Research, Economist Intelligence Unit
  • Clay Nesler, Vice President, Global Energy and Sustainability, Johnson Controls
  • Andreas Schiernbeck, President & CEO, Building Automation, Siemens AG
  • Patricia Calkins, Vice President, Environment, Health and Safety, Xerox Corporation
  • Amit Chatterjee, CEO, Hara
  • Chris Lloyd, Executive Director, Public Policy and Strategic Alliances, Verizon
  • Jim Sinopoli, Managing Principle, Smart Buildings
  • Kamal Meattle, “Fresh Air” activist and CEO, Paharpur Business Centre & Software Technology Incubator Park, New Delhi, India
  • Dr. Terry Yosie, President & CEO, World Environment Center
  • Carl Gaurdino, President and CEO, Silicon Valley Leadership Group
  • Carol Baroudi, Green & Sustainability Research Director, Aberdeen Group, and author of Green IT for Dummies
  • Andrew Winston, founder of Winston Eco-Strategies and co-author of Green to Gold
  • Tom Raftery, analyst and blogger, GreenMonk/RedMonk
  • Chris Mines, Senior Vice President, Research Director, Forrester
  • Simon Mingay, Research VP, Gartner
  • Vernon Turner, Senior Vice President, Enterprise Computing Research, IDC

To learn more about the Eco Jam check out the Eco Jam page on the IBM website or request an invite by sending an email to: ecojam@us.ibm.com.

I wonder how this will affect the number of people tuning into Apple’s big announcement later on today, not to mention President Obama’s State of the Union 2.0 address!

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