Cloud demand lifts IBM's revenue by 3 percent, but its systems sales drop by 7 percent, income falls

IBM sales rose 3.4% to $18.7 billion for the second quarter ending June 30, the Armonk, New York-based company said today. Net income fell 2.6% to $1.33 billion.

Total cloud revenue in the quarter of $7 billion, up 13% led by Cloud & Cognitive Software cloud revenue up 29%, Global Business Services cloud revenue up 35%, and Red Hat revenue up 20%. Total cloud revenue over the last 12 months of $27.0 billion, is up 15%.

The company's systems revenues were $1.7 billion, down 7.3%, driven by declines in IBM Z down 11%; and Storage Systems down 7%. Power systems declined 2%. Cloud revenue down 16%.

“In the second quarter client adoption of our hybrid cloud platform contributed to strong performance in Global Business Services and software and drove improved overall revenue growth. At the same time, we continued to help clients infuse our AI-based technology offerings into their core business workflows," said Arvind Krishna, IBM chairman, and chief executive officer. "We are pleased with our progress and we remain on track to deliver full-year revenue growth and meet our cash flow objective.”

“We expanded operating margins and grew profit dollars in the quarter, providing a key contribution to our cash performance," said James Kavanaugh, IBM senior vice president, and chief financial officer. "In the first half of the year we increased adjusted free cash flow, invested in strategic acquisitions to strengthen our hybrid cloud and AI capabilities, continued to deleverage and, consistent with our commitment, again increased our dividend.”

Sportradar's super picks underdogs Czech Republic crowned as European soccer champions

GET ready for soccer’s biggest ever shock at Euro 2020; that’s the verdict of a SuperComputer that has analyzed all the teams and their results over the last 20 years.

The startling prediction sees massive underdogs Czech Republic crowned as champions after beating another of the outsiders, Denmark, 3-2 in a thrilling final.

Soccer experts at Sportradar, the world’s leading sports data provider, “played out” the whole of the tournament through their innovative Simulated Reality solution using Artificial Intelligence algorithms.

Sadly, for pre-tournament favorites England, it was another semi-final defeat as they crashed out to the beaten finalists with once again their luck deserting them in a major competition.

Simulated Reality screenshot of England v Croatia simulation Euro 2020

But even though the Euros is renowned for its unpredictability, the Czech Republic’s forecast success would be right up there with Greece’s sensational victory against all the odds in 2004.

And remember, the Euros is the place for seismic shocks with England suffering humiliating defeats by minnows Republic of Ireland in 1988, Sweden in 1992, and Iceland in 2016.

Also, the Czech Republic and Denmark, this year’s finalists according to Sportradar, have “form” when it comes to Euro shocks themselves.

Denmark didn’t even qualify in 1992 and was drafted in only two weeks before the competition began when Yugoslavia was forced to withdraw. They ended up going all the way, beating the mighty Germany 2-0 in the final to complete an improbable journey.

And how about the Czech Republic in 1996? They were beaten in their opening game by Germany but turned things round to beat Italy 2-1 in their next game and ended up getting to the final although there was no fairy tale ending this time as Germany beat them for a second time to take the Euro crown for the third time.

England, under Gareth Southgate, is predicted to continue in their role of “nearly men” as they reach the last four before losing 3-2 to Denmark. 

So, the Three Lions are projected to remain the perennial “bridesmaids”, not having won a major international tournament since the 1966 World Cup, which was held in England.

In the Euro 2020 Group stages, England qualified for the knockout stages after two wins and a loss. They beat Croatia 5-2 in their first game but had to battle hard to beat the ‘Auld Enemy’ Scotland 1-0 before going on to down eventual winners, the Czech Republic, 2-1.

In the Round of 16, England progressed by beating France 3-1, going on to beat Poland 3-2 in the quarter-finals before they succumbed to Denmark in the semis.

Despite their loss against England in the Group stage, the Czech Republic also beat Spain and Germany in the knockout stages to set up a semi-final against Portugal, which the Czechs won 1-0.

Werner Becher, Sportradar’s regional chief executive officer for Europe, the Middle East, Africa, and Latin America, said: “After such a long delay there’s a real sense of excitement about this tournament amongst fans. We’ve tapped into the breadth of our technical capabilities to simulate the tournament, processing millions of data points from the last 20 years in order to identify the winning team. 

“Football is unpredictable, it’s one of the things we love most about the game, but few fans would have put the Czech Republic and Denmark in the final.”

Mason's Mishin wins NSF grant to study thermodynamics of interfaces

Yuri Mishin, Professor, Physics, and Astronomy, is working to advance the fundamental understanding of interface thermodynamics and kinetics using atomistic supercomputer modeling.

Mishin has several goals for this project.

First, he aims to understand the fundamental mechanisms of grain boundary (GB) segregation and GB diffusion in alloy systems.

Second, he aims to investigate the 2D thermodynamics of GB phase transformations in alloys.

Third, he intends to uncover relationships between the thermodynamic (segregation) and kinetic (diffusion) GB properties.

Next, he aims to investigate the solute drag effect by moving GBs and establishing relationships between maximum drag force, alloy thermodynamics, and GB type.

Finally, he aims to investigate phase transformations in moving GBs by direct molecular dynamics modeling.

To accomplish these tasks, Mishin will use molecular dynamics and Monte Carlo simulations in various statistical ensembles, along with other techniques, including kinetic Monte Carlo and jump correlation analysis.

Mishin received $232,190 from the National Science Foundation for this project. Funding began in June 2021 and will end in late May 2024.